An efficient extension to mixture techniques for prediction and decision trees
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Boosting and Rocchio applied to text filtering
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Boosting in the limit: maximizing the margin of learned ensembles
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Exploiting diversity for natural language processing
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Machine Learning - Special issue on context sensitivity and concept drift
An adaptive version of the boost by majority algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting as entropy projection
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Multiclass learning, boosting, and error-correcting codes
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Using Decision Trees to Construct a Practical Parser
Machine Learning - Special issue on natural language learning
The application of AdaBoost for distributed, scalable and on-line learning
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A simple, fast, and effective rule learner
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Temporal sequence learning and data reduction for anomaly detection
ACM Transactions on Information and System Security (TISSEC)
Tissue classification with gene expression profiles
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
Prediction games and arcing algorithms
Neural Computation
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Improved Generalization Through Explicit Optimization of Margins
Machine Learning
On-line Learning and the Metrical Task System Problem
Machine Learning
The generalized Bayesian committee machine
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
On the Algorithmic Implementation of Stochastic Discrimination
IEEE Transactions on Pattern Analysis and Machine Intelligence
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Randomizing Outputs to Increase Prediction Accuracy
Machine Learning
Proceedings of the ninth international conference on Information and knowledge management
An improved boosting algorithm and its application to text categorization
Proceedings of the ninth international conference on Information and knowledge management
Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme
Theoretical Computer Science
Experimental comparisons of online and batch versions of bagging and boosting
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGKDD Explorations Newsletter
Recursive Partitioning Technique for Combining Multiple Classifiers
Neural Processing Letters
Remembrance of circuits past: macromodeling by data mining in large analog design spaces
Proceedings of the 39th annual Design Automation Conference
Relational learning and boosting
Relational Data Mining
Remarks on computational learning theory
Annals of Mathematics and Artificial Intelligence
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
Data Mining and Knowledge Discovery
Discussion on the paper by Friedman and Fisher
Statistics and Computing
Machine Learning
An Adaptive Version of the Boost by Majority Algorithm
Machine Learning
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
Boosting Methods for Regression
Machine Learning
Metric-Based Methods for Adaptive Model Selection and Regularization
Machine Learning
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration
Neural Processing Letters
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
IEEE Transactions on Knowledge and Data Engineering
A geometric approach to leveraging weak learners
Theoretical Computer Science
Looking for lumps: boosting and bagging for density estimation
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Improving nonparametric regression methods by bagging and boosting
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Learning to recognize three-dimensional objects
Neural Computation
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting and Hard-Core Set Construction
Machine Learning
Potential-Based Algorithms in On-Line Prediction and Game Theory
Machine Learning
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Combining Simple Discriminators for Object Discrimination
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
On the Boosting Pruning Problem
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Boosting Applied toe Word Sense Disambiguation
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Text Categorization Using Transductive Boosting
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
On the Practice of Branching Program Boosting
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Pairwise Classification as an Ensemble Technique
ECML '02 Proceedings of the 13th European Conference on Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Ensembles of Learning Machines
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Proof Length as an Uncertainty Factor in ILP
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Solving Regression Problems Using Competitive Ensemble Models
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
From Computational Learning Theory to Discovery Science
ICAL '99 Proceedings of the 26th International Colloquium on Automata, Languages and Programming
Selecting Neural Networks for Making a Committee Decision
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Boosting Mixture Models for Semi-supervised Learning
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Scaling Up a Boosting-Based Learner via Adaptive Sampling
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
A Method to Boost Naïve Bayesian Classifiers
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Inferring a Union of Halfspaces from Examples
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
A Geometric Approach to Leveraging Weak Learners
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
How Can Computer Science Contribute to Knowledge Discovery?
SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics
Stacking for Misclassification Cost Performance
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Applying Boosting Techniques to Genetic Programming
Selected Papers from the 5th European Conference on Artificial Evolution
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Efficient Data Mining by Active Learning
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Practical Algorithms for On-line Sampling
DS '98 Proceedings of the First International Conference on Discovery Science
DS '98 Proceedings of the First International Conference on Discovery Science
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
DS '99 Proceedings of the Second International Conference on Discovery Science
Top-Down Decision Tree Boosting and Its Applications
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report)
DS '01 Proceedings of the 4th International Conference on Discovery Science
Some Elements of Machine Learning (Extended Abstract)
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
An Automated ILP Server in the Field of Bioinformatics
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Demand-Driven Construction of Structural Features in ILP
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Learning Classification RBF Networks by Boosting
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Feature Weighted Ensemble Classifiers - A Modified Decision Scheme
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Highlighting Hard Patterns via AdaBoost Weights Evolution
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Boosting and Classification of Electronic Nose Data
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Similarity Retrieval in Image Databases by Boosted Common Shape Features Among Query Images
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Resampling vs Reweighting in Boosting a Relational Weak Learner
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
ATTac-2001: A Learning, Autonomous Bidding Agent
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Boosting as a Monte Carlo Algorithm
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Video Retrieval by Feature Learning in Key Frames
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
On Boosting with Optimal Poly-Bounded Distributions
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Smooth Boosting and Learning with Malicious Noise
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Potential-Based Algorithms in Online Prediction and Game Theory
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Path Kernels and Multiplicative Updates
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
The Consistency of Greedy Algorithms for Classification
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Maximizing the Margin with Boosting
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
A Consistent Strategy for Boosting Algorithms
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
A Method to Boost Support Vector Machines
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Boosting Density Function Estimators
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Using the Pseudo-Dimension to Analyze Approximation Algorithms for Integer Programming
WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures
Computing Optimal Hypotheses Efficiently for Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
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Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
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Theoretical Computer Science
MARK: a boosting algorithm for heterogeneous kernel models
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
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Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Minimum majority classification and boosting
Eighteenth national conference on Artificial intelligence
Machine Learning
Boosting in the presence of noise
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
On the Efficiency of Noise-Tolerant PAC Algorithms Derived from Statistical Queries
Annals of Mathematics and Artificial Intelligence
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
Text categorization by boosting automatically extracted concepts
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
An introduction to boosting and leveraging
Advanced lectures on machine learning
Recognition of Cursive Roman Handwriting - Past, Present and Future
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Multiclass Classification Method Based on Multiple Pairwise Classifiers
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Online Ensemble Learning: An Empirical Study
Machine Learning
On learning multicategory classification with sample queries
Information and Computation
Experts' Boasting in Trainable Fusion Rules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Tracking the best linear predictor
The Journal of Machine Learning Research
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
The Journal of Machine Learning Research
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
On boosting with polynomially bounded distributions
The Journal of Machine Learning Research
Stopping criterion for boosting based data reduction techniques: from binary to multiclass problem
The Journal of Machine Learning Research
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The Journal of Machine Learning Research
Boosted Audio-Visual HMM for Speech Reading
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Is random model better? On its accuracy and efficiency
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
A unified model for metasearch, pooling, and system evaluation
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Evaluation of key frame-based retrieval techniques for video
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Greedy algorithms for classification—consistency, convergence rates, and adaptivity
The Journal of Machine Learning Research
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
Optimality of universal Bayesian sequence prediction for general loss and alphabet
The Journal of Machine Learning Research
Path kernels and multiplicative updates
The Journal of Machine Learning Research
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The Journal of Machine Learning Research
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
Kernel-based nonlinear discriminant analysis for face recognition
Journal of Computer Science and Technology
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Annals of Mathematics and Artificial Intelligence
The Difficulty of Reduced Error Pruning of Leveled Branching Programs
Annals of Mathematics and Artificial Intelligence
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NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Designing neural network architectures for pattern recognition
The Knowledge Engineering Review
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications
Journal of VLSI Signal Processing Systems
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The Journal of Machine Learning Research
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Web taxonomy integration through co-bootstrapping
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques
IEEE Transactions on Knowledge and Data Engineering
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Neural Computation
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Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Ordering patterns by combining opinions from multiple sources
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
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ICML '04 Proceedings of the twenty-first international conference on Machine learning
Leveraging the margin more carefully
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Margin based feature selection - theory and algorithms
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Gradient LASSO for feature selection
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Redundant feature elimination for multi-class problems
ICML '04 Proceedings of the twenty-first international conference on Machine learning
FloatBoost Learning and Statistical Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
On approximating weighted sums with exponentially many terms
Journal of Computer and System Sciences
On domain-partitioning induction criteria: worst-case bounds for the worst-case based
Theoretical Computer Science
Online learning in online auctions
Theoretical Computer Science - Special issue: Online algorithms in memoriam, Steve Seiden
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins
The Journal of Machine Learning Research
KDD-Cup 2004: protein homology task
ACM SIGKDD Explorations Newsletter
Selecting salient features for classification based on neural network committees
Pattern Recognition Letters
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Not so naive Bayes: aggregating one-dependence estimators
Machine Learning
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COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Effective utterance classification with unsupervised phonotactic models
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Recovering Intrinsic Images from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
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Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
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ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
Personalisation for user agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Recognition of sign language subwords based on boosted hidden Markov models
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
A statistical method for binary classification of images
Proceedings of the 2005 ACM symposium on Document engineering
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Theoretical Bounds of Majority Voting Performance for a Binary Classification Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Error limiting reductions between classification tasks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Ensembles of biased classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Using additive expert ensembles to cope with concept drift
ICML '05 Proceedings of the 22nd international conference on Machine learning
Generalized skewing for functions with continuous and nominal attributes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Classifier Fusion Using Shared Sampling Distribution for Boosting
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
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Machine Learning
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SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Robbing the bandit: less regret in online geometric optimization against an adaptive adversary
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Generic Object Recognition with Boosting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving the predictive power of AdaBoost: a case study in classifying borrowers
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Sparse Representation for Coarse and Fine Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent vocal cord image analysis for categorizing laryngeal diseases
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Coaxing confidences from an old friend: probabilistic classifications from transformation rule lists
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Boosting trees for clause splitting
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Augmented mixture models for lexical disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Boosting for named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
A stacked, voted, stacked model for named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Robustifying AdaBoost by Adding the Naive Error Rate
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Boosting with Noisy Data: Some Views from Statistical Theory
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Discriminative Reranking for Natural Language Parsing
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A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
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Classification using a sparse combination of basis functions
Acta Cybernetica
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New developments in parsing technology
Diversification for better classification trees
Computers and Operations Research
ICML '06 Proceedings of the 23rd international conference on Machine learning
Online multiclass learning by interclass hypothesis sharing
ICML '06 Proceedings of the 23rd international conference on Machine learning
Using query-specific variance estimates to combine Bayesian classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
How boosting the margin can also boost classifier complexity
ICML '06 Proceedings of the 23rd international conference on Machine learning
Totally corrective boosting algorithms that maximize the margin
ICML '06 Proceedings of the 23rd international conference on Machine learning
Proceedings of the twenty-fifth annual ACM symposium on Principles of distributed computing
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SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Outlier detection by active learning
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Outlier detection by sampling with accuracy guarantees
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Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Rotation Forest: A New Classifier Ensemble Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
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ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Extreme video retrieval: joint maximization of human and computer performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Aggregate features and ADABOOST for music classification
Machine Learning
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Combining inductive and deductive tools for data analysis
AI Communications
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AI Communications - Artificial Intelligence Advances in China
Word sense disambiguation vs. statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Why nitpicking works: evidence for Occam's Razor in error correctors
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HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
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Pattern Recognition Letters
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Pattern Recognition Letters
Parallelizing AdaBoost by weights dynamics
Computational Statistics & Data Analysis
Applied Soft Computing
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
Pattern Recognition Letters
A Real generalization of discrete AdaBoost
Artificial Intelligence
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Computer Methods and Programs in Biomedicine
Classifier hierarchy learning by means of genetic algorithms
Pattern Recognition Letters
Data Mining and Knowledge Discovery
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Machine Learning
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Information Processing and Management: an International Journal
Multi-Classifier Systems: Review and a roadmap for developers
International Journal of Hybrid Intelligent Systems
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Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
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ACM Transactions on Asian Language Information Processing (TALIP)
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Statistics and Computing
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Machine Learning
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Robotics and Autonomous Systems
Face detection with boosted Gaussian features
Pattern Recognition
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Theoretical Computer Science
Expert Systems with Applications: An International Journal
Generalized Robust Conjoint Estimation
Marketing Science
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Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Classifier Ensembles with a Random Linear Oracle
IEEE Transactions on Knowledge and Data Engineering
Illumination Invariant Face Recognition Using Near-Infrared Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-Performance Rotation Invariant Multiview Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy component based object detection
International Journal of Approximate Reasoning
Robust Loss Functions for Boosting
Neural Computation
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Applied Intelligence
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Computational Complexity
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Proceedings of the 24th international conference on Machine learning
Gradient boosting for kernelized output spaces
Proceedings of the 24th international conference on Machine learning
Online kernel PCA with entropic matrix updates
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Diagnosing scrapie in sheep: A classification experiment
Computers in Biology and Medicine
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SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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Pattern Recognition
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ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
Pattern Recognition
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Journal of VLSI Signal Processing Systems
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EURASIP Journal on Applied Signal Processing
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Proceedings of the international workshop on Workshop on multimedia information retrieval
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Pattern Recognition Letters
Intelligent Data Analysis
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Intelligent Data Analysis
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Pattern Recognition Letters
Classifier ensembles: Select real-world applications
Information Fusion
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Journal of Computer and System Sciences
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study
IEEE Transactions on Knowledge and Data Engineering
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Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Artificial Intelligence in Medicine
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Combining rough decisions for intelligent text mining using Dempster's rule
Artificial Intelligence Review
Pedestrian recognition with false positive detection by model-based tracking
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Improving multiclass pattern recognition with a co-evolutionary RBFNN
Pattern Recognition Letters
Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation
Image and Vision Computing
A study on iris localization and recognition on mobile phones
EURASIP Journal on Advances in Signal Processing
Recognizing cars in aerial imagery to improve orthophotos
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Multistrategical image classification for image data mining
Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
A support system for predicting eBay end prices
Decision Support Systems
Maximizing the area under the ROC curve by pairwise feature combination
Pattern Recognition
An efficient modified boosting method for solving classification problems
Journal of Computational and Applied Mathematics
On the Design of Cascades of Boosted Ensembles for Face Detection
International Journal of Computer Vision
Multi-group support vector machines with measurement costs: A biobjective approach
Discrete Applied Mathematics
Matrix-pattern-oriented least squares support vector classifier with AdaBoost
Pattern Recognition Letters
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
Navigating a 3D virtual environment of learning objects by hand gestures
International Journal of Advanced Media and Communication
Action coverage formulation for power optimization in body sensor networks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
Decision Support Systems
Risk-sensitive loss functions for sparse multi-category classification problems
Information Sciences: an International Journal
Grasp recognition for uncalibrated data gloves: A machine learning approach
Presence: Teleoperators and Virtual Environments
Smart image search by boosted shape features
ICAI'06 Proceedings of the 7th WSEAS International Conference on Automation & Information
Boosting recombined weak classifiers
Pattern Recognition Letters
Strangeness-based feature weighting and classification of gene expression profiles
Proceedings of the 2008 ACM symposium on Applied computing
The value of agreement a new boosting algorithm
Journal of Computer and System Sciences
Nonstochastic bandits: Countable decision set, unbounded costs and reactive environments
Theoretical Computer Science
Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
Constructing ensembles of symbolic classifiers
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design
International Journal of Hybrid Intelligent Systems - Hybridization of Intelligent Systems
Automatic recognition of German news focusing on future-directed beliefs and intentions
Computer Speech and Language
Cancer classification using Rotation Forest
Computers in Biology and Medicine
Boosting classifiers for drifting concepts
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
The application of hidden Markov models in speech recognition
Foundations and Trends in Signal Processing
Robust boosting algorithm against mislabeling in multiclass problems
Neural Computation
Weighted ensemble boosting for robust activity recognition in video
Machine Graphics & Vision International Journal
On optimizing the selection of business transformation projects
IBM Systems Journal
Automated speech analysis applied to laryngeal disease categorization
Computer Methods and Programs in Biomedicine
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
Robotics and Autonomous Systems
RotBoost: A technique for combining Rotation Forest and AdaBoost
Pattern Recognition Letters
An experimental comparison of gender classification methods
Pattern Recognition Letters
Step decision rules for multistage stochastic programming: A heuristic approach
Automatica (Journal of IFAC)
AdaBoost with SVM-based component classifiers
Engineering Applications of Artificial Intelligence
Decision tool for the early diagnosis of trauma patient hypovolemia
Journal of Biomedical Informatics
Selecting features for object detection using an AdaBoost-compatible evaluation function
Pattern Recognition Letters
Cancer classification by gradient LDA technique using microarray gene expression data
Data & Knowledge Engineering
Surrogate maximization/minimization algorithms and extensions
Machine Learning
Extending boosting for large scale spoken language understanding
Machine Learning
A lazy bagging approach to classification
Pattern Recognition
Complexity of combinatorial market makers
Proceedings of the 9th ACM conference on Electronic commerce
Heterogeneous stacking for classification-driven watershed segmentation
EURASIP Journal on Advances in Signal Processing
Maximum likelihood rule ensembles
Proceedings of the 25th international conference on Machine learning
Boosting with incomplete information
Proceedings of the 25th international conference on Machine learning
Random classification noise defeats all convex potential boosters
Proceedings of the 25th international conference on Machine learning
Rank minimization via online learning
Proceedings of the 25th international conference on Machine learning
Prediction with expert advice for the Brier game
Proceedings of the 25th international conference on Machine learning
Directly optimizing evaluation measures in learning to rank
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Support Vector Machinery for Infinite Ensemble Learning
The Journal of Machine Learning Research
Multi-class cost-sensitive boosting with p-norm loss functions
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Using adaptive consultation of experts to improve convergence rates in multiagent learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
International Journal of Computer Vision
Canonical subsets of image features
Computer Vision and Image Understanding
A camera phone based currency reader for the visually impaired
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Precise Eye Localization with AdaBoost and Fast Radial Symmetry
Computational Intelligence and Security
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Recurrent Boosting for Classification of Natural and Synthetic Time-Series Data
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
On the Combination of Locally Optimal Pairwise Classifiers
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
An Unsupervised Learning Algorithm for Rank Aggregation
ECML '07 Proceedings of the 18th European conference on Machine Learning
Classification of Anti-learnable Biological and Synthetic Data
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Following the Perturbed Leader to Gamble at Multi-armed Bandits
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning
Neural Information Processing
GEP-Induced Expression Trees as Weak Classifiers
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Efficient Tracking as Linear Program on Weak Binary Classifiers
Proceedings of the 30th DAGM symposium on Pattern Recognition
Solving Regression by Learning an Ensemble of Decision Rules
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Dynamic Human Fatigue Detection Using Feature-Level Fusion
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Boosting over Groups and Its Application to Acronym-Expansion Extraction
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Efficient Tracking with AdaBoost and Particle Filter under Complicated Background
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Ensemble Approaches to Facial Action Unit Classification
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Robust Face Tracking Using Bilateral Filtering
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Learning with Continuous Experts Using Drifting Games
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Learning to Combine Motor Primitives Via Greedy Additive Regression
The Journal of Machine Learning Research
Boosting method for local learning in statistical pattern recognition
Neural Computation
INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY
Applied Artificial Intelligence
Computational Biology and Chemistry
Comparison of approaches for estimating reliability of individual regression predictions
Data & Knowledge Engineering
Open problems in the security of learning
Proceedings of the 1st ACM workshop on Workshop on AISec
Cognitive security for personal devices
Proceedings of the 1st ACM workshop on Workshop on AISec
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
AdaSum: an adaptive model for summarization
Proceedings of the 17th ACM conference on Information and knowledge management
Peptide programs: applying fragment programs to protein classification
Proceedings of the 2nd international workshop on Data and text mining in bioinformatics
Boosting additive models using component-wise P-Splines
Computational Statistics & Data Analysis
Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Expert Systems with Applications: An International Journal
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
DS '08 Proceedings of the 11th International Conference on Discovery Science
Weakly Supervised Object Localization with Stable Segmentations
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Semi-supervised On-Line Boosting for Robust Tracking
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Patient-centered yes/no prognosis using learning machines
International Journal of Data Mining and Bioinformatics
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector Machines
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Graph Classification Based on Dissimilarity Space Embedding
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Prototype classification: Insights from machine learning
Neural Computation
The uniform hardcore lemma via approximate Bregman projections
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
An efficient classifier to diagnose of schizophrenia based on the EEG signals
Expert Systems with Applications: An International Journal
Empirical analysis of support vector machine ensemble classifiers
Expert Systems with Applications: An International Journal
Handling class imbalance in customer churn prediction
Expert Systems with Applications: An International Journal
A selective ensemble based on expected probabilities for bankruptcy prediction
Expert Systems with Applications: An International Journal
On the combination of locally optimal pairwise classifiers
Engineering Applications of Artificial Intelligence
Learning to generalize for complex selection tasks
Proceedings of the 14th international conference on Intelligent user interfaces
A Two-Stage Approach to Highlight Extraction in Sports Video by Using AdaBoost and Multi-modal
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A PSO Based Adaboost Approach to Object Detection
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Exact bootstrap k-nearest neighbor learners
Machine Learning
Fpga-based face detection system using Haar classifiers
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
A novel framework for efficient automated singer identification in large music databases
ACM Transactions on Information Systems (TOIS)
Importance sampled circuit learning ensembles for robust analog IC design
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Improving object detection with boosted histograms
Image and Vision Computing
A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition
IEICE - Transactions on Information and Systems
Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability
IEICE - Transactions on Information and Systems
Evaluation of a Noise-Robust Multi-Stream Speaker Verification Method Using F0 Information
IEICE - Transactions on Information and Systems
IEICE - Transactions on Information and Systems
Ensemble of classifiers for detecting network intrusion
Proceedings of the International Conference on Advances in Computing, Communication and Control
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Boosting One-Class Support Vector Machines for Multi-Class Classification
Applied Artificial Intelligence
Ml-rbf: RBF Neural Networks for Multi-Label Learning
Neural Processing Letters
Information Retrieval
Efficient exploration of unknown indoor environments using a team of mobile robots
Annals of Mathematics and Artificial Intelligence
Improved AdaBoost.M1 of decision trees with confidence-rated predictions
Proceedings of the 2009 ACM symposium on Applied Computing
A link mining algorithm for earnings forecast and trading
Data Mining and Knowledge Discovery
Intrinsic Geometries in Learning
Emerging Trends in Visual Computing
Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Boosting a fast neural network for supervised land cover classification
Computers & Geosciences
Face detection using simplified Gabor features and hierarchical regions in a cascade of classifiers
Pattern Recognition Letters
ACM SIGKDD Explorations Newsletter
Negative correlation in incremental learning
Natural Computing: an international journal
Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification
Expert Systems with Applications: An International Journal
Supervised projection approach for boosting classifiers
Pattern Recognition
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A New Data-Mining Based Approach for Network Intrusion Detection
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
Computational Statistics & Data Analysis
Searching for interacting features in subset selection
Intelligent Data Analysis
An overview of advances in reliability estimation of individual predictions in machine learning
Intelligent Data Analysis
Boosting products of base classifiers
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ABC-boost: adaptive base class boost for multi-class classification
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Tutorial series on brain-inspired computing: part 6: geometrical structure of boosting algorithm
New Generation Computing
Bagging and boosting algorithms for support vector machine classifiers
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A model-free ensemble method for class prediction with application to biomedical decision making
Artificial Intelligence in Medicine
Sensor selection for energy-efficient ambulatory medical monitoring
Proceedings of the 7th international conference on Mobile systems, applications, and services
A novel method for constructing ensemble classifiers
Statistics and Computing
The offset tree for learning with partial labels
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficiently learning the accuracy of labeling sources for selective sampling
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Information theoretic regularization for semi-supervised boosting
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning complex background by multi-scale discriminative model
Pattern Recognition Letters
Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Weighting Individual Classifiers by Local Within-Class Accuracies
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Combining appearance and motion for face and gender recognition from videos
Pattern Recognition
Coronal loop detection from solar images
Pattern Recognition
Classification of DNA microarray data with Random Projection Ensembles of Polynomial SVMs
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
A Real generalization of discrete AdaBoost
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Upper Facial Action Unit Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Feature fusion using Gabor filters and cooccurrence probabilities for fingerprint antispoofing
International Journal of Intelligent Systems Technologies and Applications
Ensemble Methods for Boosting Visualization Models
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Real Adaboost Ensembles with Emphasized Subsampling
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Ensemble Learning for Multi-source Information Fusion
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
An Information Theoretic Perspective on Multiple Classifier Systems
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
A Cascade Multiple Classifier System for Document Categorization
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Ant Clustering Using Ensembles of Partitions
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Classification of SPECT Images Using Clustering Techniques Revisited
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Computational Intelligence Methods for Bioinformatics and Biostatistics
Relationship Between Loss Functions and Confirmation Measures
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Object Class Recognition Using SNoW with a Part Vocabulary
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Interacting with Digital Signage Using Hand Gestures
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games
A multiclass classification method based on decoding of binary classifiers
Neural Computation
Predicting electricity distribution feeder failures using machine learning susceptibility analysis
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Combining incremental Hidden Markov Model and Adaboost algorithm for anomaly intrusion detection
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
Malware detection using statistical analysis of byte-level file content
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
Boosting CBR Agents with Genetic Algorithms
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Anthropometric Facial Emotion Recognition
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
Development of Real-Time Face Detection Architecture for Household Robot Applications
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
ODDboost: Incorporating Posterior Estimates into AdaBoost
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Learning from data with uncertain labels by boosting credal classifiers
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
A Comparison of Artifact Reduction Methods for Real-Time Analysis of fNIRS Data
Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009
Face Detection Using a Time-of-Flight Camera
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
Training for Task Specific Keypoint Detection
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Data Mining and Knowledge Discovery
Chinese named entity recognition with cascaded hybrid model
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Determination of Gender and Age Based on Pattern of Human Motion Using AdaBoost Algorithms
Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics
Zero-Inflated Boosted Ensembles for Rare Event Counts
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
An l 1 Regularization Framework for Optimal Rule Combination
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
A Hybrid Approach to Land Cover Classification from Multi Spectral Images
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Red Eye Detection through Bag-of-Keypoints Classification
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Template-independent news extraction based on visual consistency
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Multimodal people detection and tracking in crowded scenes
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions
Journal of Artificial Intelligence Research
On similarities between inference in game theory and machine learning
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Maximum margin coresets for active and noise tolerant learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Real boosting a la carte with an application to boosting oblique decision trees
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Simple training of dependency parsers via structured boosting
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Training conditional random fields using virtual evidence boosting
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Specializing for predicting obesity and its co-morbidities
Journal of Biomedical Informatics
Monte Carlo theory as an explanation of bagging and boosting
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Inductive learning in less than one sequential data scan
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Skewing: an efficient alternative to lookahead for decision tree induction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Online selection of tracking features using AdaBoost
IEEE Transactions on Circuits and Systems for Video Technology
Shot boundary detection in MPEG videos using local and global indicators
IEEE Transactions on Circuits and Systems for Video Technology
Robust video fingerprinting based on symmetric pairwise boosting
IEEE Transactions on Circuits and Systems for Video Technology
Learning coordination classifiers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning with labeled sessions
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Classification of oncologic data with genetic programming
Journal of Artificial Evolution and Applications - Special issue on artificial evolution methods in the biological and biomedical sciences
Computational Biology and Chemistry
Boosting and instability for regression trees
Computational Statistics & Data Analysis
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
Bagging and AdaBoost algorithms for vector quantization
Neurocomputing
Artificial Intelligence in Medicine
FaceSeg: automatic face segmentation for real-time video
IEEE Transactions on Multimedia
Human-machine interaction issues in quality control based on online image classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multisensor-based human detection and tracking for mobile service robots
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
System-level power management using online learning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Neural Networks
Kernel-matching pursuits with arbitrary loss functions
IEEE Transactions on Neural Networks
Invariant pattern recognition using contourlets and AdaBoost
Pattern Recognition
Machine learning in ecosystem informatics and sustainability
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Pattern Recognition Letters
Local within-class accuracies for weighting individual outputs in multiple classifier systems
Pattern Recognition Letters
Ensemble with neural networks for bankruptcy prediction
Expert Systems with Applications: An International Journal
Multiple classifier application to credit risk assessment
Expert Systems with Applications: An International Journal
Large-scale investigation of weed seed identification by machine vision
Computers and Electronics in Agriculture
A collaborative training algorithm for distributed learning
IEEE Transactions on Information Theory
Sided and symmetrized Bregman centroids
IEEE Transactions on Information Theory
A review on the combination of binary classifiers in multiclass problems
Artificial Intelligence Review
Boosting Classifiers Built from Different Subsets of Features
Fundamenta Informaticae
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A novel ensemble machine learning for robust microarray data classification
Computers in Biology and Medicine
Two competitive solutions to the problem of remote eye-tracking
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Dynamics of Incremental Learning by VSF-Network
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
An Enhanced Layer Embedded Pedestrian Detector
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A Generic Probabilistic Active Shape Model for Organ Segmentation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Pigmented Skin Lesions Classification Using Dermatoscopic Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Ensemble Approach for the Classification of Imbalanced Data
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Co-occurrence of Intensity and Gradient Features for Object Detection
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Perception Based Down Sampling for Low Bit Rate Image Coding
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Automatic Detection of Object of Interest and Tracking in Active Video
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Emotion recognition from speech via boosted Gaussian mixture models
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Learning local features for object categorization
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Probabilistic branching node detection using hybrid local features
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Automatic markup of neural cell membranes using boosted decision stumps
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
Efficient improvement for adaboost based face detection system
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
Robust servo-control for underwater robots using banks of visual filters
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A new supervised local modelling classifier based on information theory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Creating an ensemble of diverse support vector machines using adaboost
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Towards a portable intelligent facial expression recognizer
Intelligent Decision Technologies
Pedestrian recognition with false positive detection by model-based tracking
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
A Novel Weightless Artificial Neural Based Multi-Classifier for Complex Classifications
Neural Processing Letters
Pairwise boosted audio fingerprint
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Machine learning despite unknown classes
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Forecasting electronic industry EPS Using an integrated ANFIS model
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Detecting pedestrians at very small scales
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Precise eye detection on frontal view face image
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Towards incremental classifier fusion
Intelligent Data Analysis
Dynamic three-bin real AdaBoost using biased classifiers: an application in face detection
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Boosting with pairwise constraints
Neurocomputing
Learning to integrate web taxonomies
Web Semantics: Science, Services and Agents on the World Wide Web
Exploring automatic music annotation with "acoustically-objective" tags
Proceedings of the international conference on Multimedia information retrieval
Wavelet, active basis, and shape script: a tour in the sparse land
Proceedings of the international conference on Multimedia information retrieval
Online adaptive policies for ensemble classifiers
Neurocomputing
A Hierarchical and Contextual Model for Aerial Image Parsing
International Journal of Computer Vision
The Bayesian Additive Classification Tree applied to credit risk modelling
Computational Statistics & Data Analysis
Cost-sensitive boosting neural networks for software defect prediction
Expert Systems with Applications: An International Journal
A survey on vision-based human action recognition
Image and Vision Computing
Predicting the potential habitat of oaks with data mining models and the R system
Environmental Modelling & Software
Heartbeat of a nest: Using imagers as biological sensors
ACM Transactions on Sensor Networks (TOSN)
Evaluation of ensemble methods for diagnosing of valvular heart disease
Expert Systems with Applications: An International Journal
Learning explicit and implicit visual manifolds by information projection
Pattern Recognition Letters
Context information from search engines for document recognition
Pattern Recognition Letters
Learning Permutations with Exponential Weights
The Journal of Machine Learning Research
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model
The Journal of Machine Learning Research
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems
The Journal of Machine Learning Research
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
The Journal of Machine Learning Research
The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List
The Journal of Machine Learning Research
Prediction With Expert Advice For The Brier Game
The Journal of Machine Learning Research
Rank-test similarity measure between video segments for local descriptors
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Discretizing continuous attributes in AdaBoost for text categorization
ECIR'03 Proceedings of the 25th European conference on IR research
Learning multi-label alternating decision trees from texts and data
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Averaged boosting: a noise-robust ensemble method
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Ensemble learning methods for classifying EEG signals
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Information theoretic combination of classifiers with application to AdaBoost
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Classifier ensembles for vector space embedding of graphs
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Naïve Bayes ensembles with a random oracle
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Error bounds for aggressive and conservative AdaBoost
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Reducing the overconfidence of base classifiers when combining their decisions
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
An ensemble approach for data fusion with learn++
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A study of ensemble of hybrid networks with strong regularization
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A novel support vector machine ensemble based on subtractive clustering analysis
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Selecting salient features for classification committees
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Confidence estimation using the incremental learning algorithm, learn
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Absolute contrasts in face detection with adaboost cascade
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Face detection by discrete Gabor jets and reference graph of fiducial points
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Probabilistic aggregation of classifiers for incremental learning
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Real-time face detection using illumination invariant features
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Suboptimality of penalized empirical risk minimization in classification
COLT'07 Proceedings of the 20th annual conference on Learning theory
Learning permutations with exponential weights
COLT'07 Proceedings of the 20th annual conference on Learning theory
l1 regularization in infinite dimensional feature spaces
COLT'07 Proceedings of the 20th annual conference on Learning theory
When is there a free matrix lunch?
COLT'07 Proceedings of the 20th annual conference on Learning theory
Quick adaptation to changing concepts by sensitive detection
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Joint sulci detection using graphical models and boosted priors
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Segmentation of sub-cortical structures by the graph-shifts algorithm
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Robust tree-based incremental imputation method for data fusion
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Evolutionary model tree induction
Proceedings of the 2010 ACM Symposium on Applied Computing
On selection and combination of weak learners in AdaBoost
Pattern Recognition Letters
Learning personal specific facial dynamics for face recognition from videos
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Robust face recognition strategies using feed-forward architectures and parts
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Multistrategical approach in visual learning
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A theoretical approach to construct highly discriminative features with application in AdaBoost
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Towards whole brain segmentation by a hybrid model
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Boosting unsupervised competitive learning ensembles
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
A binary decision tree based real-time emotion detection system
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
A boosting discriminative model for moving cast shadow detection
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
High throughput analysis of breast cancer specimens on the grid
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Detection and segmentation of pathological structures by the extended graph-shifts algorithm
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Recognition of JPEG compressed face images based on AdaBoost
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
A real-time object recognition system on cell broadband engine
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Taking class importance into account
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
A family of novel graph kernels for structural pattern recognition
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Bagging with asymmetric costs for misclassified and correctly classified examples
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Cost-minimising strategies for data labelling: optimal stopping and active learning
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
Ordinal classification with decision rules
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Improving spamdexing detection via a two-stage classification strategy
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Efficient algorithms for mining frequent and closed patterns from semi-structured data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
BOAI: fast alternating decision tree induction based on bottom-up evaluation
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Generic object recognition using boosted combined features
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Ensemble of decision rules for ordinal classification with monotonicity constraints
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Dynamic features based driver fatigue detection
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
An empirical study of the convergence of regionboost
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Automatic object detection on aerial images using local descriptors and image synthesis
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Selective sampling for classification
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Real-time nose detection and tracking based on AdaBoost and optical flow algorithms
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Multi criteria decision methods for coordinating case-based agents
MATES'09 Proceedings of the 7th German conference on Multiagent system technologies
An improved Adaboost.R algorithm and its application in mining safety monitoring
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A sampling-based approach to computing equilibria in succinct extensive-form games
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
The effect of distance metrics on boosting with dynamic weighting schemes
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Journal of Network and Computer Applications
A fast face detection method based on improved sample selection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Fundamenta Informaticae - Intelligent Data Analysis in Granular Computing
A full characterization of quantum advice
Proceedings of the forty-second ACM symposium on Theory of computing
A new understanding of prediction markets via no-regret learning
Proceedings of the 11th ACM conference on Electronic commerce
EURASIP Journal on Advances in Signal Processing
Multiple-view multiple-learner active learning
Pattern Recognition
Learning with continuous experts using drifting games
Theoretical Computer Science
Enhancing IPTV personalization
Proceedings of the 8th international interactive conference on Interactive TV&Video
Context cells: towards lifelong learning in activity recognition systems
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
A hierarchical classifier with growing neural gas clustering
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Learning volatility of discrete time series using prediction with expert advice
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Determining discriminative anatomical point pairings using adaboost for 3D face recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Precise head segmentation on arbitrary backgrounds
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A 100MHz hardware-efficient boost cascaded face detection design
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Online boosting for vehicle detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Information theoretic combination of pattern classifiers
Pattern Recognition
Generalized re-weighting local sampling mean discriminant analysis
Pattern Recognition
ENDER: a statistical framework for boosting decision rules
Data Mining and Knowledge Discovery
Figure classification in biomedical literature to elucidate disease mechanisms, based on pathways
Artificial Intelligence in Medicine
Machine learning of clinical performance in a pancreatic cancer database
Artificial Intelligence in Medicine
Ensemble pruning via individual contribution ordering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Approximate Reasoning
Learn++.MF: A random subspace approach for the missing feature problem
Pattern Recognition
Decision forest for classification of gene expression data
Computers in Biology and Medicine
Tuning the ensemble selection process of schema matchers
Information Systems
Stable rankings for different effort models
Automated Software Engineering
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Learning a board Balanced Scorecard to improve corporate performance
Decision Support Systems
Learning Active Basis Model for Object Detection and Recognition
International Journal of Computer Vision
A visitor counter system using fuzzy measure theory and boosting method
WSEAS Transactions on Information Science and Applications
The Knowledge Engineering Review
DNA sequence feature selection for intrinsic nucleosome positioning signals using AdaBoost
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Probabilistic branching node detection using adaboost and hybrid local features
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Vessel segmentation in eye fundus images using ensemble learning and curve fitting
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
An EDBoost algorithm towards robust face recognition in JPEG compressed domain
Image and Vision Computing
From baby steps to Leapfrog: how "Less is More" in unsupervised dependency parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Boosting-based system combination for machine translation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Boosting a multi-linear classifier with application to visual lip reading
Expert Systems with Applications: An International Journal
Probability density estimation with tunable kernels using orthogonal forward regression
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Aggregating preference graphs for collaborative rating prediction
Proceedings of the fourth ACM conference on Recommender systems
A novel composite model approach to improve software quality prediction
Information and Software Technology
MultiFusion: A boosting approach for multimedia fusion
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multiclass Multimodal Detection and Tracking in Urban Environments
International Journal of Robotics Research
Bridge detection in grid terrains and improved drainage enforcement
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Edited AdaBoost by weighted kNN
Neurocomputing
Review Article: Stable feature selection for biomarker discovery
Computational Biology and Chemistry
Robust Pose Recognition of the Obscured Human Body
International Journal of Computer Vision
Portfolio theory of multimedia fusion
Proceedings of the international conference on Multimedia
Boosting-based multiple kernel learning for image re-ranking
Proceedings of the international conference on Multimedia
Reduced Reward-punishment editing for building ensembles of classifiers
Expert Systems with Applications: An International Journal
Transactions on rough sets XII
Using computational intelligence to develop intelligent clinical decision support systems
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Face tracking and recognition considering the camera's field of view
HBU'10 Proceedings of the First international conference on Human behavior understanding
Spatiotemporal-boosted DCT features for head and face gesture analysis
HBU'10 Proceedings of the First international conference on Human behavior understanding
A brief survey on sequence classification
ACM SIGKDD Explorations Newsletter
A boosting approach for utterance verification
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Two ensemble classifiers constructed from GEP-induced expression trees
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
Margin based sample weighting for stable feature selection
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Handling missing features with boosting algorithms for protein-protein interaction prediction
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Content-based retrieval of functional objects in video using scene context
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
On-line ensemble-teacher learning through a perceptron rule with a margin
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Voting-averaged combination method for regressor ensemble
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
A linear combination of classifiers via rank margin maximization
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Multi-class classification on Riemannian manifolds for video surveillance
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Cascaded models for articulated pose estimation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Learning artistic lighting template from portrait photographs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Boosting chamfer matching by learning chamfer distance normalization
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Learning pre-attentive driving behaviour from holistic visual features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
NDPMine: efficiently mining discriminative numerical features for pattern-based classification
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Learning with randomized majority votes
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Multi-label classification and extracting predicted class hierarchies
Pattern Recognition
An L2-boosting algorithm for estimation of a regression function
IEEE Transactions on Information Theory
RAMOBoost: ranked minority oversampling in boosting
IEEE Transactions on Neural Networks
Approximation stability and boosting
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
A regularization approach to metrical task systems
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Online multiple kernel learning: algorithms and mistake bounds
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
A comparative study on the performance of several ensemble methods with low subsampling ratio
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Analysis of bagging ensembles of fuzzy models for premises valuation
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Feature selection for classifying high-dimensional numerical data
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Cue integration through discriminative accumulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Asymmetrically boosted HMM for speech reading
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Framework for research on detection classifiers
Proceedings of the 24th Spring Conference on Computer Graphics
The construction of an individual credit risk assessment method: based on the combination algorithms
ICICA'10 Proceedings of the First international conference on Information computing and applications
Increased-specificity famine prediction using satellite observation data
Proceedings of the First ACM Symposium on Computing for Development
Catheter tracking: filter-based vs. learning-based
Proceedings of the 32nd DAGM conference on Pattern recognition
Boosting based conditional quantile estimation for regression and binary classification
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Graph classification based on optimizing graph spectra
DS'10 Proceedings of the 13th international conference on Discovery science
Automated training data generation for microscopy focus classification
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Automatic cardiac MRI segmentation using a biventricular deformable medial model
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Fusion of PCA-based and LDA-based similarity measures for face verification
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
No regret learning in oligopolies: cournot vs. bertrand
SAGT'10 Proceedings of the Third international conference on Algorithmic game theory
1-vs-others rough decision forest
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Online learning from local features for video-based face recognition
Pattern Recognition
Boosting histograms of descriptor distances for scalable multiclass specific scene recognition
Image and Vision Computing
Automatic recognition of lower facial action units
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
An improved fusion method based on adaboost algorithm for semantic concept extraction
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Decoding stimulus-reward pairing from local field potentials recorded from monkey visual cortex
IEEE Transactions on Neural Networks
Mixing linear SVMs for nonlinear classification
IEEE Transactions on Neural Networks
An algorithm on multi-view adaboost
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Non-uniform layered clustering for ensemble classifier generation and optimality
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Boosting part-sense multi-feature learners toward effective object detection
Computer Vision and Image Understanding
Tree topological features for unlexicalized parsing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Ensembles of probability estimation trees for customer churn prediction
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Random projections for SVM ensembles
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Rotation forest on microarray domain: PCA versus ICA
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
An empirical study of multilayer perceptron ensembles for regression tasks
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Cellular GEP-induced classifiers
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Learning to discover faulty spots in cDNA microarrays
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Evaluation of face alignment solutions using statistical learning
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A boosted classifier tree for hand shape detection
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Audio tag annotation and retrieval using tag count information
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm
The Journal of Machine Learning Research
Learning to rank with document ranks and scores
Knowledge-Based Systems
A learning-based contrarian trading strategy via a dual-classifier model
ACM Transactions on Intelligent Systems and Technology (TIST)
An analysis of tree topological features in classifier-based unlexicalized parsing
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Bayesian tangent shape model: Estimating shape and pose parameters via bayesian inference
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Multi-class leveraged k-NN for image classification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Totally-corrective multi-class boosting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Combining bagging, boosting, rotation forest and random subspace methods
Artificial Intelligence Review
BSPNN: boosted subspace probabilistic neural network for email security
Artificial Intelligence Review
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Connections between markets and learning
ACM SIGecom Exchanges
Graph attribute embedding via Riemannian submersion learning
Computer Vision and Image Understanding
Coordinate model for text categorization
Transactions on edutainment V
Study of the behavior of a new boosting algorithm for recurrent neural networks
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Boosted independent features for face expression recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Online forecasting of stock market movement direction using the improved incremental algorithm
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Real-time tracking with classifiers
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Similar partial copy detection of line drawings using a cascade classifier and feature matching
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Interpretable visual models for human perception-based object retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Distributed denial of service attack detection using an ensemble of neural classifier
Computer Communications
Expert Systems with Applications: An International Journal
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
Expert Systems with Applications: An International Journal
Random projections for linear SVM ensembles
Applied Intelligence
Boosted multi-class semi-supervised learning for human action recognition
Pattern Recognition
A probabilistic model of classifier competence for dynamic ensemble selection
Pattern Recognition
Predicting clicks in a vocabulary learning system
HLT-SS '11 Proceedings of the ACL 2011 Student Session
RankDE: learning a ranking function for information retrieval using differential evolution
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Optimizing stacking ensemble by an ant colony optimization approach
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Supervised and semi-supervised online boosting tree for industrial machine vision application
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Fingerprint segmentation based on an AdaBoost classifier
Frontiers of Computer Science in China
Stochastic boosting algorithms
Statistics and Computing
The design of evolutionary multiple classifier system for the classification of microarray data
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
AdaBoost face detection on the gpu using Haar-like features
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Generic object class detection using feature maps
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Journal of Biomedical Informatics
Extending adaboost to iteratively vary its base classifiers
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
On the semantic annotation of places in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Meta optimization and its application to portfolio selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking-based classification of heterogeneous information networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin
The Journal of Machine Learning Research
Automatic branching detection in IVUS sequences
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Feature set search space for fuzzyboost learning
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Risk estimation for hierarchical classifier
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Structured output element ordering in boosting-based classification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
RKOF: robust kernel-based local outlier detection
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Margin-based over-sampling method for learning from imbalanced datasets
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Rotation forest with GEP-induced expression trees
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Constrained 2-D/3-D registration for motion compensation in AFib ablation procedures
IPCAI'11 Proceedings of the Second international conference on Information processing in computer-assisted interventions
Approach based ensemble methods for better and faster intrusion detection
CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
Emotion recognition using bimodal data fusion
Proceedings of the 12th International Conference on Computer Systems and Technologies
Segmentation and modeling of visually symmetric objects by robot actions
International Journal of Robotics Research
Classifier selection by clustering
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Ensemble of classifiers based on hard instances
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Real-time people detection in videos using geometrical features and adaptive boosting
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Linear programming in the semi-streaming model with application to the maximum matching problem
ICALP'11 Proceedings of the 38th international conference on Automata, languages and programming - Volume Part II
Sample-weighted clustering methods
Computers & Mathematics with Applications
A new framework for on-line object tracking based on SURF
Pattern Recognition Letters
Ensemble-teacher learning through a perceptron rule with a margin
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Weighted mutual information for feature selection
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
A new ensemble-based cascaded framework for multiclass training with simple weak learners
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Logitboost extension for early classification of sequences
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
A bounded version of online boosting on open-ended data streams
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Boosting inspired process for improving AUC
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
A robust ranking methodology based on diverse calibration of AdaBoost
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
ShiftTree: an interpretable model-based approach for time series classification
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
ShareBoost: boosting for multi-view learning with performance guarantees
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Analysis of wear debris through classification
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Ensemble pruning via base-classifier replacement
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Automatic Detection of Object of Interest and Tracking in Active Video
Journal of Signal Processing Systems
Thinned-ECOC ensemble based on sequential code shrinking
Expert Systems with Applications: An International Journal
Ensembles of decision trees for imbalanced data
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Cloosting: clustering data with boosting
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A new classifier ensembles framework
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Control of variables in reducts - kNN classification with confidence
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Cellular gene expression programming classifier learning
Transactions on computational collective intelligence V
Random feature weights for decision tree ensemble construction
Information Fusion
A multilevel information fusion approach for visual quality inspection
Information Fusion
Combined cardiac and respiratory motion compensation for atrial fibrillation ablation procedures
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A new metric for greedy ensemble pruning
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Automated selection of standardized planes from ultrasound volume
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
QBoost: Predicting quantiles with boosting for regression and binary classification
Expert Systems with Applications: An International Journal
Automatic citrus canker detection from leaf images captured in field
Pattern Recognition Letters
On upper-confidence bound policies for switching bandit problems
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Combining initial segments of lists
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Making online decisions with bounded memory
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Approximate reduction from AUC maximization to 1-norm soft margin optimization
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Boosting systems for large vocabulary continuous speech recognition
Speech Communication
Context-independent facial action unit recognition using shape and gabor phase information
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
A text-based decision support system for financial sequence prediction
Decision Support Systems
FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors
Expert Systems with Applications: An International Journal
Improving video classification via youtube video co-watch data
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
A Bayesian network classifier that combines a finite mixture model and a naïve bayes model
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Almost-everywhere algorithmic stability and generalization error
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Staged mixture modelling and boosting
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Feature selection and dualities in maximum entropy discrimination
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Using model trees and their ensembles for imbalanced data
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Using OVA modeling to improve classification performance for large datasets
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Human-centric design personalization of 3D glasses frame in markerless augmented reality
Advanced Engineering Informatics
Stable Gene Selection from Microarray Data via Sample Weighting
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
On Equivalence Relationships Between Classification and Ranking Algorithms
The Journal of Machine Learning Research
Boosting input/output hidden markov models for sequence classification
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A search algorithm for global optimisation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Multiple sets of rules for text categorization
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Empirical study on weighted voting multiple classifiers
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Aggregating regressive estimators: gradient-based neural network ensemble
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Two-Stage classifier for diagnosis of hypertension type
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Unsupervised Weight Parameter Estimation Method for Ensemble Learning
Journal of Mathematical Modelling and Algorithms
Solving semi-infinite linear programs using boosting-like methods
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Smooth boosting using an information-based criterion
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Combining pairwise coupling classifiers using individual logistic regressions
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Predicting chaotic time series by boosted recurrent neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
ECML'06 Proceedings of the 17th European conference on Machine Learning
Shot boundary detection algorithm in compressed domain based on adaboost and fuzzy theory
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
A learning based algorithm for automatic extraction of the cortical sulci
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Some comments on error correcting output codes
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
InfoBoost for selecting discriminative gabor features
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Towards optimal training of cascaded detectors
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Recognition and segmentation of 3-d human action using HMM and multi-class adaboost
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Example based non-rigid shape detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Efficient learning by combining confidence-rated classifiers to incorporate unlabeled medical data
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Local additive regression of decision stumps
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning to fuse 3d+2d based face recognition at both feature and decision levels
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
AdaBoost gabor fisher classifier for face recognition
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Online allocation with risk information
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Face recognition using ordinal features
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Cascade adaboost classifiers with stage optimization for face detection
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Highly accurate and fast face recognition using near infrared images
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A method for 2d bar code recognition by using rectangle features to allocate vertexes
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Continuous experts and the binning algorithm
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Model trees for classification of hybrid data types
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Classification of volatile organic compounds with incremental SVMs and RBF networks
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Boosting classifiers for music genre classification
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Conservative visual learning for object detection with minimal hand labeling effort
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Combining labeled and unlabeled data for learning cross-document structural relationships
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
NTPC: N-fold templated piped correction
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Efficient shape indexing using an information theoretic representation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A hierarchical floatboost and MLP classifier for mobile phone embedded eye location system
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
From English pitch accent detection to Mandarin stress detection, where is the difference?
Computer Speech and Language
Learning local binary patterns for gender classification on real-world face images
Pattern Recognition Letters
Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis
Expert Systems with Applications: An International Journal
Development of a soldering quality classifier system using a hybrid data mining approach
Expert Systems with Applications: An International Journal
A modular framework for the automatic classification of chromosomes in Q-band images
Computer Methods and Programs in Biomedicine
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Subnet weight modification algorithm for ensemble
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Automatic IVUS segmentation of atherosclerotic plaque with stop & go snake
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Learning multi-category classification in bayesian framework
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Boosting multi-gabor subspaces for face recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
On PAC learning algorithms for rich boolean function classes
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Ensemble learning for keyphrases extraction from scientific document
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Subcellular Localization Prediction through Boosting Association Rules
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Concept based text classification using labeled and unlabeled data
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Can adaboost.m1 learn incrementally? a comparison to learn++ under different combination rules
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Automatic microcalcification and cluster detection for digital and digitised mammograms
Knowledge-Based Systems
Aggregating strategy for online auctions
COCOON'06 Proceedings of the 12th annual international conference on Computing and Combinatorics
The paradigm for creating multi-lingual text-to-speech voice databases
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Mining outliers with ensemble of heterogeneous detectors on random subspaces
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
On selecting additional predictive models in double bagging type ensemble method
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
Boosting statistical local feature based classifiers for face recognition
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
A learning based approach for 3d segmentation and colon detagging
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Infinite ensemble learning with support vector machines
ECML'05 Proceedings of the 16th European conference on Machine Learning
Object localization with boosting and weak supervision for generic object recognition
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Toward automatic motor condition diagnosis
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Observations on boosting feature selection
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Ensemble learning with biased classifiers: the Triskel algorithm
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Ensemble of SVMs for incremental learning
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Ensemble confidence estimates posterior probability
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Face recognition with the multiple constrained mutual subspace method
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Using a stochastic adaboost algorithm to discover interactome motif pairs from sequences
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Tissue classification using gene expression data and artificial neural network ensembles
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Knowledge-Based sampling for subgroup discovery
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A multi-agent system for protein secondary structure prediction
Transactions on Computational Systems Biology III
Parameter inference of cost-sensitive boosting algorithms
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Robust ensemble learning for cancer diagnosis based on microarray data classification
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Using boosting learning method for intrusion detection
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
COLT'05 Proceedings of the 18th annual conference on Learning Theory
The value of agreement, a new boosting algorithm
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Sensitive error correcting output codes
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Data dependent concentration bounds for sequential prediction algorithms
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Improved second-order bounds for prediction with expert advice
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Optimum follow the leader algorithm
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Classification of natural images using supervised and unsupervised classifier combinations
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Novel ensemble methods for regression via classification problems
Expert Systems with Applications: An International Journal
Boosted decision trees for diagnosis type of hypertension
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Probabilistic face tracking using boosted multi-view detector
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Boosting local binary pattern (LBP)-Based face recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Weighted map for reflectance and shading separation using a single image
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Palmprint classification using wavelets and adaboost
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Boosting algorithm with sequence-loss cost function for structured prediction
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Application of mixture of experts to construct real estate appraisal models
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Improved response modeling based on clustering, under-sampling, and ensemble
Expert Systems with Applications: An International Journal
Classifier fusion to predict breast cancer tumors based on microarray gene expression data
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Using a boosted tree classifier for text segmentation in hand-annotated documents
Pattern Recognition Letters
Time series data classification using recurrent neural network with ensemble learning
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Improved kernel common vector method for face recognition varying in background conditions
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
A boundary-fragment-model for object detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Robust Video Content Analysis via Transductive Learning
ACM Transactions on Intelligent Systems and Technology (TIST)
Machine learning in a quantum world
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Mobile visual aid tools for users with visual impairments
Mobile Multimedia Processing
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Robust learning-based annotation of medical radiographs
MCBR-CDS'09 Proceedings of the First MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Learning vocabulary-based hashing with adaboost
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Probabilistic cascade random fields for man-made structure detection
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Incremental learning of new classes in unbalanced datasets: Learn++.UDNC
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
An experimental study on ensembles of functional trees
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
A machine learning parser using an unlexicalized distituent model
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Analyzing facial behavioral features from videos
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
Probabilistic object tracking based on machine learning and importance sampling
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
FPL analysis for adaptive bandits
SAGA'05 Proceedings of the Third international conference on StochasticAlgorithms: foundations and applications
Gabor feature selection for face recognition using improved adaboost learning
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Classification of vehicle type and make by combined features and random subspace ensemble
International Journal of Computational Vision and Robotics
Random projection, margins, kernels, and feature-selection
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
A simple feature extraction for high dimensional image representations
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
A fast individual face modeling and facial animation system
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Asymmetric constraint optimization based adaptive boosting for cascade face detector
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
A modular approach to gesture recognition for interaction with a domestic service robot
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Sparse weighted voting classifier selection and its linear programming relaxations
Information Processing Letters
Foundations and Trends® in Computer Graphics and Vision
CCC: classifier combination via classifier
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Towards cost-sensitive learning for real-world applications
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
MULTIBOOST: a multi-purpose boosting package
The Journal of Machine Learning Research
A primal-dual convergence analysis of boosting
The Journal of Machine Learning Research
Realistic smile expression recognition using biologically inspired features
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
From cluster ensemble to structure ensemble
Information Sciences: an International Journal
Computer Vision and Image Understanding
Diagnosing Breast Masses in Digital Mammography Using Feature Selection and Ensemble Methods
Journal of Medical Systems
Incremental threshold learning for classifier selection
Neurocomputing
An intelligent dynamic MRI system for automatic nasal tumor detection
Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
Two New Prediction-Driven Approaches to Discrete Choice Prediction
ACM Transactions on Management Information Systems (TMIS)
Explaining the output of ensembles in medical decision support on a case by case basis
Artificial Intelligence in Medicine
Learning and inference order in structured output elements classification
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Multi-agent adaptive boosting on semi-supervised water supply clusters
Advances in Engineering Software
Robust face detection using local gradient patterns and evidence accumulation
Pattern Recognition
Risk bounds for CART classifiers under a margin condition
Pattern Recognition
New specifics for a hierarchial estimator meta-algorithm
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
An efficient ensemble classification method based on novel classifier selection technique
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Energy-Based metric for ensemble selection
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Transfer learning with local smoothness regularizer
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
An Improved Branch-and-Bound Method for Maximum Monomial Agreement
INFORMS Journal on Computing
Computer Methods and Programs in Biomedicine
Boosting GARCH and neural networks for the prediction of heteroskedastic time series
Mathematical and Computer Modelling: An International Journal
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
A boosting approach for supervised Mahalanobis distance metric learning
Pattern Recognition
The build of n-Bits Binary Coding ICBP Ensemble System
Neurocomputing
Leveraging indicator-based ensemble selection in evolutionary multiobjective optimization algorithms
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Learning where to attend with deep architectures for image tracking
Neural Computation
Network intrusion detection system: a machine learning approach
Intelligent Decision Technologies
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Discriminative Appearance Models for Pictorial Structures
International Journal of Computer Vision
Diversity analysis on boosting nominal concepts
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Functional gradient ascent for Probit regression
Pattern Recognition
A noise-detection based AdaBoost algorithm for mislabeled data
Pattern Recognition
On ranking and generalization bounds
The Journal of Machine Learning Research
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Sequential manifold learning for efficient churn prediction
Expert Systems with Applications: An International Journal
Fast pedestrian detection system with a two layer cascade of classifiers
Computers & Mathematics with Applications
Credit Rating Change Modeling Using News and Financial Ratios
ACM Transactions on Management Information Systems (TMIS)
Relational networks of conditional preferences
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
A hierarchical neural network architecture for classification
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Improvements to adaboost dynamic
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Mining administrative data to predict falls in the elderly population
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
A heuristically perturbation of dataset to achieve a diverse ensemble of classifiers
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Ensemble methods for prediction of parkinson disease
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
New adaboost algorithm based on interval-valued fuzzy sets
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Real-time visual tracking via online weighted multiple instance learning
Pattern Recognition
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Expert Systems with Applications: An International Journal
Design and VLSI implementation of a high-performance face detection engine
Computers and Electrical Engineering
Empirical models based on features ranking techniques for corporate financial distress prediction
Computers & Mathematics with Applications
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
Kinematic skeleton extraction based on motion boundaries for 3D dynamic meshes
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Statistical traffic classification by boosting support vector machines
Proceedings of the 7th Latin American Networking Conference
ADANET: inferring gene regulatory networks using ensemble classifiers
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
ROV-3D: 3d underwater survey combining optical and acoustic sensor
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
International Journal of Computer Vision
Parsing ink annotations on heterogeneous documents
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
A variance reduction framework for stable feature selection
Statistical Analysis and Data Mining
Finding salient dates for building thematic timelines
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Two systems for automatic music genre recognition: what are they really recognizing?
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Blinking-based live face detection using conditional random fields
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Improving reliability of oil spill detection systems using boosting for high-level feature selection
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Multimodal behavior and interaction as indicators of cognitive load
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
Similar image search with a tiny bag-of-delegates representation
Proceedings of the 20th ACM international conference on Multimedia
Detecting rule of simplicity from photos
Proceedings of the 20th ACM international conference on Multimedia
A novel local patch framework for fixing supervised learning models
Proceedings of the 21st ACM international conference on Information and knowledge management
An efficient two-stage framework for image annotation
Pattern Recognition
Peer-to-peer multi-class boosting
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Contextual object detection using set-based classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Learning multiple tasks with boosted decision trees
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Gated boosting: efficient classifier boosting and combining
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
Progressive image registration based on probability boosting tree
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Hybrid ensembles using hopfield neural networks and haar-like features for face detection
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
The safe bayesian: learning the learning rate via the mixability gap
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Online prediction under submodular constraints
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
A closer look at adaptive regret
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
All smiles: automatic photo enhancement by facial expression analysis
Proceedings of the 9th European Conference on Visual Media Production
Linear programming in the semi-streaming model with application to the maximum matching problem
Information and Computation
International Journal of Robotics Research
Characterizing the sample complexity of private learners
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Error-correcting output codes based ensemble feature extraction
Pattern Recognition
Adaptive Haar-like classifier for eye status detection under non-ideal lighting conditions
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Multi-source transfer learning with multi-view adaboost
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Classifier ensemble using a heuristic learning with sparsity and diversity
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Global reweighting and weight vector based strategy for multiclass boosting
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Improving Logitboost with prior knowledge
Information Fusion
Online Multiple Kernel Classification
Machine Learning
Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
Greedy regression in sparse coding space for single-image super-resolution
Journal of Visual Communication and Image Representation
Fast Component-Based QR Code Detection in Arbitrarily Acquired Images
Journal of Mathematical Imaging and Vision
Predicting shellfish farm closures with class balancing methods
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Combining analytic kernel models for energy-efficient data modeling and classification
The Journal of Supercomputing
Online learning with multiple kernels: A review
Neural Computation
A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes
International Journal of Computer Vision
Reducing overfitting of AdaBoost by clustering-based pruning of hard examples
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Cost-Sensitive Learning via Priority Sampling to Improve the Return on Marketing and CRM Investment
Journal of Management Information Systems
Randomness and sparsity induced codebook learning with application to cancer image classification
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Decision trees: a recent overview
Artificial Intelligence Review
Learning regression ensembles with genetic programming at scale
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Protein crystallization prediction with AdaBoost
International Journal of Data Mining and Bioinformatics
A hierarchical clusterer ensemble method based on boosting theory
Knowledge-Based Systems
Efficient Market Making via Convex Optimization, and a Connection to Online Learning
ACM Transactions on Economics and Computation - Special Issue on Algorithmic Game Theory
Novel adaptive eye detection and tracking for challenging lighting conditions
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Effect of ensemble classifier composition on offline cursive character recognition
Information Processing and Management: an International Journal
Collaborative boosting for activity classification in microblogs
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Modelling and Simulation in Engineering
Double-bootstrapping source data selection for instance-based transfer learning
Pattern Recognition Letters
Proceedings of the 6th Balkan Conference in Informatics
Confidence-based multiclass AdaBoost for physical activity monitoring
Proceedings of the 2013 International Symposium on Wearable Computers
SafeVchat: A System for Obscene Content Detection in Online Video Chat Services
ACM Transactions on Internet Technology (TOIT)
Ant colony based approach to predict stock market movement from mood collected on Twitter
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Efficient gradient descent algorithm for sparse models with application in learning-to-rank
Knowledge-Based Systems
Review: Data-derived soft-sensors for biological wastewater treatment plants: An overview
Environmental Modelling & Software
Human activities recognition using depth images
Proceedings of the 21st ACM international conference on Multimedia
Non-reference audio quality assessment for online live music recordings
Proceedings of the 21st ACM international conference on Multimedia
A theory of multiclass boosting
The Journal of Machine Learning Research
Multicategory large-margin unified machines
The Journal of Machine Learning Research
Multi-instance learning with any hypothesis class
The Journal of Machine Learning Research
Double-base asymmetric AdaBoost
Neurocomputing
Application of data mining techniques to determine patient satisfaction
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
Optimum Object Selection Made Easy
Wireless Personal Communications: An International Journal
Active labeling application applied to food-related object recognition
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities
Real-time eye-gaze estimation using a low-resolution webcam
Multimedia Tools and Applications
Indoor scene recognition by a mobile robot through adaptive object detection
Robotics and Autonomous Systems
Models of recognition procedures with logical correctors
Pattern Recognition and Image Analysis
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
INFORMS Journal on Computing
A novel multiplex cascade classifier for pedestrian detection
Pattern Recognition Letters
Multilabel Learning via Random Label Selection for Protein Subcellular Multilocations Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
KDD Cup 2013 - author-paper identification challenge: second place team
Proceedings of the 2013 KDD Cup 2013 Workshop
Smoothed emphasis for boosting ensembles
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
On the doubt about margin explanation of boosting
Artificial Intelligence
Computer-aided diagnosis system: A Bayesian hybrid classification method
Computer Methods and Programs in Biomedicine
Predicting part-of-speech tags and morpho-syntactic relations using similarity-based technique
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air
International Journal of Knowledge Discovery in Bioinformatics
HEGM: A hierarchical elastic graph matching for hand gesture recognition
Pattern Recognition
Editorial: Modifications of the construction and voting mechanisms of the Random Forests Algorithm
Data & Knowledge Engineering
Towards robust activity recognition for everyday life: methods and evaluation
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining
INFORMS Journal on Computing
Exploring STIP-based models for recognizing human interactions in TV videos
Pattern Recognition Letters
A survey of multiple classifier systems as hybrid systems
Information Fusion
Computer Vision and Image Understanding
Building facade detection, segmentation, and parameter estimation for mobile robot stereo vision
Image and Vision Computing
Global feature for online character recognition
Pattern Recognition Letters
Traffic classification combining flow correlation and ensemble classifier
International Journal of Wireless and Mobile Computing
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
A survey on team strategies in robot soccer: team strategies and role description
Artificial Intelligence Review
Extraction of left ventricle borders with local and global priors from echocardiograms
Machine Vision and Applications
Journal of Real-Time Image Processing
Learning ensemble classifiers via restricted Boltzmann machines
Pattern Recognition Letters
Line filtering for surgical tool localization in 3D ultrasound images
Computers in Biology and Medicine
Applying Ant Colony Optimization to configuring stacking ensembles for data mining
Expert Systems with Applications: An International Journal
Face detection based on skin color likelihood
Pattern Recognition
Combining initial segments of lists
Theoretical Computer Science
Conjugate relation between loss functions and uncertainty sets in classification problems
The Journal of Machine Learning Research
The rate of convergence of AdaBoost
The Journal of Machine Learning Research
An effective ensemble pruning algorithm based on frequent patterns
Knowledge-Based Systems
Multi-class boosting with asymmetric binary weak-learners
Pattern Recognition
An integrative approach to accurate vehicle logo detection
Journal of Electrical and Computer Engineering
Artificial Intelligence Review
Performance divergence with data discrepancy: a review
Artificial Intelligence Review
Multimedia Tools and Applications
Concept drift detection via competence models
Artificial Intelligence
Multi-label automatic indexing of music by cascade classifiers
Web Intelligence and Agent Systems
Classification accuracy is not enough
Journal of Intelligent Information Systems
Personalized behavior pattern recognition and unusual event detection for mobile users
Mobile Information Systems
Random subspace support vector machine ensemble for reliable face recognition
International Journal of Biometrics
Recognizing object manipulation activities using depth and visual cues
Journal of Visual Communication and Image Representation
A novel forward gene selection algorithm for microarray data
Neurocomputing
Combining multiple predictive models using genetic algorithms
Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A hybrid decision tree classifier
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Signal Processing Systems
Online parameter tuning for object tracking algorithms
Image and Vision Computing
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