Toward efficient agnostic learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
An improved boosting algorithm and its implications on learning complexity
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning from a population of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the impact of forgetting on learning machines
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Statistical queries and faulty PAC oracles
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Amplification of weak learning under the uniform distribution
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Experiments on multistrategy learning by meta-learning
CIKM '93 Proceedings of the second international conference on Information and knowledge management
On the learnability of discrete distributions
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Simple strategies for large zero-sum games with applications to complexity theory
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Journal of the ACM (JACM)
Learning DNF over the uniform distribution using a quantum example oracle
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Noise-tolerant parallel learning of geometric concepts
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On efficient agnostic learning of linear combinations of basis functions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Specification and simulation of statistical query algorithms for efficiency and noise tolerance
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On the impact of forgetting on learning machines
Journal of the ACM (JACM)
Evaluation may be easier than generation (extended abstract)
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Towards the learnability of DNF formulae
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
On the boosting ability of top-down decision tree learning algorithms
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Game theory, on-line prediction and boosting
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On the Accuracy of Meta-learning for Scalable Data Mining
Journal of Intelligent Information Systems
On Restricted-Focus-of-Attention Learnability of Boolean Functions
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
Efficient noise-tolerant learning from statistical queries
Journal of the ACM (JACM)
An adaptive version of the boost by majority algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Additive models, boosting, and inference for generalized divergences
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
Exact learning of unordered tree patterns from queries
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosted mixture of experts: an ensemble learning scheme
Neural Computation
Boosting regression estimators
Neural Computation
Initializing RBF-networks with small subsets of training examples
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
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
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tissue classification with gene expression profiles
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
The generalized Bayesian committee machine
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Meta-classifiers and selective superiority
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
A streaming ensemble algorithm (SEA) for large-scale classification
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Relational learning and boosting
Relational Data Mining
Ensembling neural networks: many could be better than all
Artificial Intelligence
Scaling Kernel-Based Systems to Large Data Sets
Data Mining and Knowledge Discovery
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Using Decision Trees for Agent Modeling: Improving Prediction Performance
User Modeling and User-Adapted Interaction
Statistics and Computing
Machine Learning
A Principal Components Approach to Combining Regression Estimates
Machine Learning
Using Correspondence Analysis to Combine Classifiers
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
Clustered Partial Linear Regression
Machine Learning
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effect of pruning and early stopping on performance of a boosting ensemble
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Information Processing Letters
Boosting and Hard-Core Set Construction
Machine Learning
Clustered Partial Linear Regression
ECML '00 Proceedings of the 11th European Conference on Machine Learning
ECML '00 Proceedings of the 11th European Conference on Machine Learning
On the Practice of Branching Program Boosting
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme
ECML '02 Proceedings of the 13th European Conference on Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Dynamic Integration of Decision Committees
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
PAC Meditation on Boolean Formulas
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Bagging and Boosting with Dynamic Integration of Classifiers
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Artificial Neural Network Learning: A Comparative Review
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Ensembles of Learning Machines
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Solving Regression Problems Using Competitive Ensemble Models
AI '02 Proceedings of the 15th 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
Is a Greedy Covering Strategy an Extreme Boosting?
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Object Recognition with Gradient-Based Learning
Shape, Contour and Grouping in Computer Vision
Classifying Unseen Cases with Many Missing Values
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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
Building Behaviour Knowledge Space to Make Classification Decision
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
On Distribution-Specific Learning with Membership Queries versus Pseudorandom Generation
FST TCS 2000 Proceedings of the 20th Conference on Foundations of Software Technology and Theoretical Computer Science
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
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
On the Hardness of Learning Acyclic Conjunctive Queries
ALT '00 Proceedings of the 11th 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
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
DS '98 Proceedings of the First International Conference on Discovery Science
CAEP: Classification by Aggregating Emerging Patterns
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
A ``Top-Down and Prune'' Induction Scheme for Constrained Decision Committees
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Experiments with Classifier Combining Rules
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Limiting the Number of Trees in Random Forests
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Constructing Web User Profiles: A non-invasive Learning Approach
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier 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
The Consistency of Greedy Algorithms for Classification
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
Adjusted Estimation for the Combination of Classifiers
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Using the Pseudo-Dimension to Analyze Approximation Algorithms for Integer Programming
WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures
Decision Committee Learning with Dynamic Integration of Classifiers
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Algorithmic Aspects of Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Top-down decision tree learning as information based boosting
Theoretical Computer Science
Minimum majority classification and boosting
Eighteenth national conference on Artificial intelligence
Data mining tasks and methods: Classification: decision-tree discovery
Handbook of data mining and knowledge discovery
Machine Learning
Boosting in the presence of noise
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
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
On the difficulty of approximately maximizing agreements
Journal of Computer and System Sciences
An introduction to boosting and leveraging
Advanced lectures on machine learning
Online Ensemble Learning: An Empirical Study
Machine Learning
On using extended statistical queries to avoid membership queries
The Journal of Machine Learning Research
On boosting with polynomially bounded distributions
The Journal of Machine Learning Research
Designing committees of models through deliberate weighting of data points
The Journal of Machine Learning Research
Optimally-smooth adaptive boosting and application to agnostic learning
The Journal of Machine Learning Research
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
The monotone theory for the PAC-model
Information and Computation
Greedy algorithms for classification—consistency, convergence rates, and adaptivity
The Journal of Machine Learning Research
On the rate of convergence of regularized boosting classifiers
The Journal of Machine Learning Research
The Difficulty of Reduced Error Pruning of Leveled Branching Programs
Annals of Mathematics and Artificial Intelligence
Designing neural network architectures for pattern recognition
The Knowledge Engineering Review
APBC '04 Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29
Incremental neural network construction by using correlation as cost function
Design and application of hybrid intelligent systems
Mixtures of simple models vs ANNs in hydrological modelling
Design and application of hybrid intelligent systems
Information geometry of U-Boost and Bregman divergence
Neural Computation
Genetic programming in classifying large-scale data: an ensemble method
Information Sciences: an International Journal - Special issue: Soft computing data mining
A Monte Carlo analysis of ensemble classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
C4.5 competence map: a phase transition-inspired approach
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Incremental personalized web page mining utilizing self-organizing HCMAC neural network
Web Intelligence and Agent Systems
Kernel density classification and boosting: an L2 analysis
Statistics and Computing
Key agreement from weak bit agreement
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Neural network ensemble strategies for financial decision applications
Computers and Operations Research
Evolving rule-based systems in two medical domains using genetic programming
Artificial Intelligence in Medicine
Sampling-based sequential subgroup mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Boosting textual compression in optimal linear time
Journal of the ACM (JACM)
Ensembles of biased classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging
Problems of Information Transmission
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
Enhancing Density-Based Data Reduction Using Entropy
Neural Computation
Robustifying AdaBoost by Adding the Naive Error Rate
Neural Computation
Neural Computation
Data Mining and Knowledge Discovery
Learning rich semantics from news video archives by style analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
On a theory of learning with similarity functions
ICML '06 Proceedings of the 23rd international conference on Machine learning
Estimating relatedness via data compression
ICML '06 Proceedings of the 23rd international conference on Machine learning
Improving cooperative GP ensemble with clustering and pruning for pattern classification
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection
Knowledge and Information Systems
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
Maximum likelihood combination of multiple clusterings
Pattern Recognition Letters
Prediction-hardness of acyclic conjunctive queries
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
A Comparison of Decision Tree Ensemble Creation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting-Based Learning Agents for Experience Classification
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Neural Processing Letters
Ensemble based on GA wrapper feature selection
Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
Extracting symbolic rules from trained neural network ensembles
AI Communications - Artificial Intelligence Advances in China
A Real generalization of discrete AdaBoost
Artificial Intelligence
Knot selection by boosting techniques
Computational Statistics & Data Analysis
Intelligent Data Analysis
Hierarchical classifier with overlapping class groups
Expert Systems with Applications: An International Journal
A hybrid classification method using error pattern modeling
Expert Systems with Applications: An International Journal
Surface and normal ensembles for surface reconstruction
Computer-Aided Design
Some Theory for Generalized Boosting Algorithms
The Journal of Machine Learning Research
Computational Statistics & Data Analysis
Classification by ensembles from random partitions of high-dimensional data
Computational Statistics & Data Analysis
EROS: Ensemble rough subspaces
Pattern Recognition
Automatic hardware implementation tool for a discrete Adaboost-based decision algorithm
EURASIP Journal on Applied Signal Processing
Robust face detection in airports
EURASIP Journal on Applied Signal Processing
A reduction technique for nearest-neighbor classification: Small groups of examples
Intelligent Data Analysis
Adjusted estimation for the combination of classifiers
Intelligent Data Analysis
Surrogate maximization/minimization algorithms and extensions
Machine Learning
Non-parametric bootstrap ensembles for detection of tumor lesions
Pattern Recognition Letters
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study
IEEE Transactions on Knowledge and Data Engineering
Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Artificial Intelligence in Medicine
A graph-theoretical approach for pattern discovery in epidemiological research
IBM Systems Journal
Credit risk assessment with a multistage neural network ensemble learning approach
Expert Systems with Applications: An International Journal
An efficient modified boosting method for solving classification problems
Journal of Computational and Applied Mathematics
A decision support system to facilitate management of patients with acute gastrointestinal bleeding
Artificial Intelligence in Medicine
Action coverage formulation for power optimization in body sensor networks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
The lack of a priori distinctions between learning algorithms
Neural Computation
Boosting and other ensemble methods
Neural Computation
Boosting recombined weak classifiers
Pattern Recognition Letters
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
On hardness of learning intersection of two halfspaces
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
On agnostic boosting and parity learning
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
A theory of learning with similarity functions
Machine Learning
Surrogate maximization/minimization algorithms and extensions
Machine Learning
The Journal of Machine Learning Research
A cluster-based resampling method for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
On profiling blogs with representative entries
Proceedings of the second workshop on Analytics for noisy unstructured text data
Estimation and decision fusion: A survey
Neurocomputing
Using predictive analysis to improve invoice-to-cash collection
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Counting and enumerating aggregate classifiers
Discrete Applied Mathematics
Learning unions of ω(1)-dimensional rectangles
Theoretical Computer Science
Hierarchical Rules for a Hierarchical Classifier
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, 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
A New Constructive Algorithm for Designing and Training Artificial Neural Networks
Neural Information Processing
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
How an Ensemble Method Can Compute a Comprehensible Model
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
A Boost Voting Strategy for Knowledge Integration and Decision Making
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
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
Design of ensemble neural network using the Akaike information criterion
Engineering Applications of Artificial Intelligence
International Journal of Computer Applications in Technology
Patient-centered yes/no prognosis using learning machines
International Journal of Data Mining and Bioinformatics
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
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:
Recent Advances in Reinforcement Learning
The uniform hardcore lemma via approximate Bregman projections
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
A new method for hierarchical clustering combination
Intelligent Data Analysis
Collective-agreement-based pruning of ensembles
Computational Statistics & Data Analysis
The individual borrowers recognition: Single and ensemble trees
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
A Balanced Ensemble Learning with Adaptive Error Functions
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Classification models for the prediction of clinicians' information needs
Journal of Biomedical Informatics
Ensemble based on GA wrapper feature selection
Computers and Industrial Engineering
Empirical hardness models: Methodology and a case study on combinatorial auctions
Journal of the ACM (JACM)
Negative correlation in incremental learning
Natural Computing: an international journal
Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
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
Multi-execution: multicore caching for data-similar executions
Proceedings of the 36th annual international symposium on Computer architecture
Information theoretic regularization for semi-supervised boosting
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Sentiment analysis of blogs by combining lexical knowledge with text classification
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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
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
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Adapting the Tesseract open source OCR engine for multilingual OCR
Proceedings of the International Workshop on Multilingual OCR
An ensemble technique for stable learners with performance bounds
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Bid evaluation in combinatorial auctions: optimization and learning
Software—Practice & Experience
On Fixed Convex Combinations of No-Regret Learners
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Is bagging effective in the classification of small-sample genomic and proteomic data?
EURASIP Journal on Bioinformatics and Systems Biology - Special issue on applications of signal procesing techniques to bioinformatics, genomics, and proteomics
Computational Statistics & Data Analysis
Pedestrian Detection by Probabilistic Component Assembly
Proceedings of the 31st DAGM Symposium on Pattern Recognition
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Active learning with multiple views
Journal of Artificial Intelligence Research
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Issues in stacked generalization
Journal of Artificial Intelligence Research
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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
Managing domain knowledge and multiple models with boosting
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Distributed data mining: why do more than aggregating models
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Specializing for predicting obesity and its co-morbidities
Journal of Biomedical Informatics
A portfolio approach to algorithm select
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Support vector machine based multiagent ensemble learning for credit risk evaluation
Expert Systems with Applications: An International Journal
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
IEEE Transactions on Neural Networks
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
Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
Balanced Learning for Ensembles with Small Neural Networks
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
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
Boosting with a Joint Feature Pool from Different Sensors
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Modalities, Relations, and Learning
RelMiCS '09/AKA '09 Proceedings of the 11th International Conference on Relational Methods in Computer Science and 6th International Conference on Applications of Kleene Algebra: Relations and Kleene Algebra in Computer Science
Boosted Neural Networks in Evolutionary Computation
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Protein Fold Prediction Problem Using Ensemble of Classifiers
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Efficient improvement for adaboost based face detection system
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
Creating an ensemble of diverse support vector machines using adaboost
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Dynamic adaptive ensemble case-based reasoning: application to stock market prediction
Expert Systems with Applications: An International Journal
Optimal ensemble construction via meta-evolutionary ensembles
Expert Systems with Applications: An International Journal
Constructing response model using ensemble based on feature subset selection
Expert Systems with Applications: An International Journal
Artificial Intelligence Review
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
Boosting by weighting critical and erroneous samples
Neurocomputing
Expert Systems with Applications: An International Journal
A closer look at boosted image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Genetic programming with boosting for ambiguities in regression problems
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
An empirical boosting scheme for ROC-based genetic programming classifiers
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
An empirical comparison of three boosting algorithms on real data sets with artificial class noise
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Learning nested halfspaces and uphill decision trees
COLT'07 Proceedings of the 20th annual conference on Learning theory
Improving a state-of-the-art named entity recognition system using the world wide web
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Combining bagging and random subspaces to create better ensembles
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations
IEEE Transactions on Fuzzy Systems
Iterative reordering of rules for building ensembles without relearning
DS'07 Proceedings of the 10th international conference on Discovery science
Improving classification performance by combining multiple TAN classifiers
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Improving boosting by exploiting former assumptions
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
An ensemble of neural networks for stock trading decision making
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
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
Local decision bagging of binary neural classifiers
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
A hybrid random subspace classifier fusion approach for protein mass spectra classification
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Rule validation of a meta-classifier through a Galois (concept) lattice and complementary means
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
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
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
A full characterization of quantum advice
Proceedings of the forty-second ACM symposium on Theory of computing
EURASIP Journal on Advances in Signal Processing
Analysis of a probabilistic model of redundancy in unsupervised information extraction
Artificial Intelligence
When to choose an ensemble classifier model for data mining
International Journal of Business Intelligence and Data Mining
A hierarchical classifier with growing neural gas clustering
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
An ensemble-based evolutionary framework for coping with distributed intrusion detection
Genetic Programming and Evolvable Machines
On the importance of data balancing for symbolic regression
IEEE Transactions on Evolutionary Computation
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Boosting with structure information in the functional space: an application to graph classification
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learn++.MF: A random subspace approach for the missing feature problem
Pattern Recognition
Tuning the ensemble selection process of schema matchers
Information Systems
A comparative assessment of ensemble learning for credit scoring
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
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
MultiFusion: A boosting approach for multimedia fusion
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Algorithms and theory of computation handbook
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
On the hardness of learning intersections of two halfspaces
Journal of Computer and System Sciences
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
Pattern classification driven enhancements for human-in-the-loop decision support systems
Decision Support Systems
Fault diagnosis in assembly processes based on engineering-driven rules and PSOSAEN algorithm
Computers and Industrial Engineering
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
A multi-class object classifier using boosted Gaussian mixture model
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
Greedy optimization classifiers ensemble based on diversity
Pattern Recognition
Learning to discover faulty spots in cDNA microarrays
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Tree Decomposition for Large-Scale SVM Problems
The Journal of Machine Learning Research
Small-sample error estimation for bagged classification rules
EURASIP Journal on Advances in Signal Processing - Special issue on genomic signal processing
S-adaboost and pattern detection in complex environment
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Red-eyes removal through cluster-based boosting on gray codes
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Resource aware distributed knowledge discovery
Ubiquitous knowledge discovery
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
Resource aware distributed knowledge discovery
Ubiquitous knowledge discovery
Bagging-based spectral clustering ensemble selection
Pattern Recognition Letters
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
Empirical comparison of bagging ensembles created using weak learners for a regression problem
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Journal of Biomedical Informatics
Design of ensemble neural network using entropy theory
Advances in Engineering Software
Risk estimation for hierarchical classifier
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Empirical comparison of resampling methods using genetic neural networks for a regression problem
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Clustering ensemble for spam filtering
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
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
Ensemble of classifiers based on hard instances
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
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
On positive and unlabeled learning for text classification
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
A dynamic logistic multiple classifier system for online classification
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Ensemble methods for reinforcement learning with function approximation
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Neural network committees optimized with evolutionary methods for steel temperature control
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Risk function estimation for subproblems in a hierarchical classifier
Pattern Recognition Letters
Holistic approaches to identifying the sentiment of blogs using opinion words
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Degradation process prediction for rotational machinery based on hybrid intelligent model
Robotics and Computer-Integrated Manufacturing
Gradient boosting trees for auto insurance loss cost modeling and prediction
Expert Systems with Applications: An International Journal
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Neyman-Pearson Classification, Convexity and Stochastic Constraints
The Journal of Machine Learning Research
A search algorithm for global optimisation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
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
Learning unions of ω(1)-dimensional rectangles
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
Predicting chaotic time series by boosted recurrent neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
DS'06 Proceedings of the 9th international conference on Discovery Science
Negatively correlated neural network ensemble with multi-population particle swarm optimization
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
A classifier ensemble method for fuzzy classifiers
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Moderated innovations in self-poised ensemble learning
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Using ensemble method to improve the performance of genetic algorithm
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
Expert Systems with Applications: An International Journal
Subnet weight modification algorithm for ensemble
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Time-Space ensemble strategies for automatic music genre classification
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Subcellular Localization Prediction through Boosting Association Rules
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
ML-CIDIM: multiple layers of multiple classifier systems based on CIDIM
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Ensemble learning with biased classifiers: the Triskel algorithm
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Succinct and informative cluster descriptions for document repositories
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
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
Generate different neural networks by negative correlation learning
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Learning outliers to refine a corpus for chinese webpage categorization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
E-CIDIM: ensemble of CIDIM classifiers
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
Comparison of tree based methods on mammography data
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Learning syntactic patterns using boosting and other classifier combination schemas
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Boosted decision trees for diagnosis type of hypertension
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
A parallel learning approach for neural network ensemble
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Information Sciences: an International Journal
Spiculated lesion detection in digital mammogram based on artificial neural network ensemble
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Genetic Programming and Evolvable Machines
Ensembles for normal and surface reconstructions
GMP'06 Proceedings of the 4th international conference on Geometric Modeling and Processing
Genetically evolved trees representing ensembles
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Handling different categories of concept drifts in data streams using distributed GP
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
Expert Systems with Applications: An International Journal
Random projection, margins, kernels, and feature-selection
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Foundations and Trends® in Computer Graphics and Vision
Improving bagging performance through multi-algorithm ensembles
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
A primal-dual convergence analysis of boosting
The Journal of Machine Learning Research
A new ensemble method for gold mining problems: Predicting technology transfer
Electronic Commerce Research and Applications
Diagnosing Breast Masses in Digital Mammography Using Feature Selection and Ensemble Methods
Journal of Medical Systems
An intelligent dynamic MRI system for automatic nasal tumor detection
Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
An Epicurean learning approach to gene-expression data classification
Artificial Intelligence in Medicine
Measuring performance in health care: case-mix adjustment by boosted decision trees
Artificial Intelligence in Medicine
Lung cancer cell identification based on artificial neural network ensembles
Artificial Intelligence in Medicine
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
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 Improved Branch-and-Bound Method for Maximum Monomial Agreement
INFORMS Journal on Computing
Evolutionary regression machines for precision agriculture
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Proceedings of the 15th International Conference on Database Theory
Boosting GARCH and neural networks for the prediction of heteroskedastic time series
Mathematical and Computer Modelling: An International Journal
Biclustering-driven ensemble of Bayesian belief network classifiers for underdetermined problems
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Learning linear and kernel predictors with the 0-1 loss function
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
The build of n-Bits Binary Coding ICBP Ensemble System
Neurocomputing
Fast shared boosting for large-scale concept detection
Multimedia Tools and Applications
Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts
Neural Processing Letters
Learning Kernel-Based Halfspaces with the 0-1 Loss
SIAM Journal on Computing
A noise-detection based AdaBoost algorithm for mislabeled data
Pattern Recognition
A heuristic diversity production approach
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Expert Systems with Applications: An International Journal
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
ADANET: inferring gene regulatory networks using ensemble classifiers
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
Journal of Intelligent Manufacturing
Anomaly based intrusion detection using meta ensemble classifier
Proceedings of the Fifth International Conference on Security of Information and Networks
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
Using program synthesis for social recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
An attempt to employ genetic fuzzy systems to predict from a data stream of premises transactions
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
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
International Journal of Robotics Research
Learnability of DNF with representation-specific queries
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
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
Density estimation with minimization of U-divergence
Machine Learning
International Journal of Automation and Computing
Real-time hand pose estimation using classifiers
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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
Projective clustering ensembles
Data Mining and Knowledge Discovery
Presmoothing effects in Artificial Color image segmentation
Computer Vision and Image Understanding
Predicting shellfish farm closures with class balancing methods
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
When homomorphism becomes a liability
TCC'13 Proceedings of the 10th theory of cryptography conference on Theory of Cryptography
Quantum adiabatic machine learning
Quantum Information Processing
Pattern Recognition Letters
Investigation of random subspace and random forest regression models using data with injected noise
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
A diversity production approach in ensemble of base classifiers
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Effect of ensemble classifier composition on offline cursive character recognition
Information Processing and Management: an International Journal
A deterministic resampling method using overlapping document clusters for pseudo-relevance feedback
Information Processing and Management: an International Journal
Computers in Biology and Medicine
Improving quality control by early prediction of manufacturing outcomes
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Distributed community detection in web-scale networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Encoding through patterns: Regression tree-based neuronal population models
Neural Computation
Confidence-based multiclass AdaBoost for physical activity monitoring
Proceedings of the 2013 International Symposium on Wearable Computers
A theory of multiclass boosting
The Journal of Machine Learning Research
Double-base asymmetric AdaBoost
Neurocomputing
Recognition of offline handwritten numerals using an ensemble of MLPs combined by Adaboost
Proceedings of the 4th International Workshop on Multilingual OCR
Input Space Partitioning for Neural Network Learning
International Journal of Applied Evolutionary Computation
Expert Systems with Applications: An International Journal
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ACTIDS: an active strategy for detecting and localizing network attacks
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Smoothed emphasis for boosting ensembles
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Combining classifiers using nearest decision prototypes
Applied Soft Computing
ACM Transactions on Database Systems (TODS) - Invited papers issue
A survey of multiple classifier systems as hybrid systems
Information Fusion
Multinomial logit models with implicit variable selection
Advances in Data Analysis and Classification
Ensemble methods for advanced skier days prediction
Expert Systems with Applications: An International Journal
GA-Ensemble: a genetic algorithm for robust ensembles
Computational Statistics
Software quality assessment using a multi-strategy classifier
Information Sciences: an International Journal
An improved boosting based on feature selection for corporate bankruptcy prediction
Expert Systems with Applications: An International Journal
Future Generation Computer Systems
Applying Ant Colony Optimization to configuring stacking ensembles for data mining
Expert Systems with Applications: An International Journal
Sentiment classification: The contribution of ensemble learning
Decision Support Systems
Algorithms and hardness results for parallel large margin learning
The Journal of Machine Learning Research
An effective ensemble pruning algorithm based on frequent patterns
Knowledge-Based Systems
Comparing ensemble learning methods based on decision tree classifiers for protein fold recognition
International Journal of Data Mining and Bioinformatics
Meta-ELM: ELM with ELM hidden nodes
Neurocomputing
Genetic ensemble of extreme learning machine
Neurocomputing
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
Machine Vision and Applications
Fast decorrelated neural network ensembles with random weights
Information Sciences: an International Journal
A tour of machine learning: An AI perspective
AI Communications - ECAI 2012 Turing and Anniversary Track
An automatic method for construction of ensembles to time series prediction
International Journal of Hybrid Intelligent Systems
Automatic selection of classification learning algorithms for data mining practitioners
Intelligent Data Analysis
International Journal of Knowledge-based and Intelligent Engineering Systems
Learning to filter spam emails: An ensemble learning approach
International Journal of Hybrid Intelligent Systems
Boosted Pre-loaded Mixture of Experts for low-resolution face recognition
International Journal of Hybrid Intelligent Systems
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This paper addresses the problem of improving the accuracy of an hypothesis output by a learning algorithm in the distribution-free (PAC) learning model. A concept class is learnable (or strongly learnable) if, given access to a source of examples of the unknown concept, the learner with high probability is able to output an hypothesis that is correct on all but an arbitrarily small fraction of the instances. The concept class is weakly learnable if the learner can produce an hypothesis that performs only slightly better than random guessing. In this paper, it is shown that these two notions of learnability are equivalent.A method is described for converting a weak learning algorithm into one that achieves arbitrarily high accuracy. This construction may have practical applications as a tool for efficiently converting a mediocre learning algorithm into one that performs extremely well. In addition, the construction has some interesting theoretical consequences, including a set of general upper bounds on the complexity of any strong learning algorithm as a function of the allowed error ε.