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
Neural networks and efficient associative memory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
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
Boosting regression estimators
Neural Computation
A classification-based methodology for planning audit strategies in fraud detection
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
The generalized Bayesian committee machine
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Upper Bounds for Error Rates of Linear Combinations of Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ensembling neural networks: many could be better than all
Artificial Intelligence
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Statistics and Computing
Using Correspondence Analysis to Combine Classifiers
Machine Learning
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
A geometric approach to leveraging weak learners
Theoretical Computer Science
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Boosting and Hard-Core Set Construction
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
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
The Computational Power of a Family of Decision Forests
MFCS '01 Proceedings of the 26th International Symposium on Mathematical Foundations of Computer Science
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
Using Data Mining Techniques in Fiscal Fraud Detection
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
From Computational Learning Theory to Discovery Science
ICAL '99 Proceedings of the 26th International Colloquium on Automata, Languages and Programming
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
Quantum DNF Learnability Revisited
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
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
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
A General Dimension for Approximately Learning Boolean Functions
ALT '02 Proceedings of the 13th 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
DS '98 Proceedings of the First 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
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Geometric Bounds for Generalization in Boosting
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
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
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
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
Computing Optimal Hypotheses Efficiently for Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
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
Machine Learning
Boosting in the presence of noise
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
New degree bounds for polynomial threshold functions
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
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
An introduction to boosting and leveraging
Advanced lectures on machine learning
Online Ensemble Learning: An Empirical Study
Machine Learning
On boosting with polynomially bounded distributions
The Journal of Machine Learning Research
Optimally-smooth adaptive boosting and application to agnostic learning
The Journal of Machine Learning Research
The monotone theory for the PAC-model
Information and Computation
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
Journal of Computer and System Sciences - STOC 2001
Information geometry of U-Boost and Bregman divergence
Neural Computation
Leveraging the margin more carefully
ICML '04 Proceedings of the twenty-first international conference on Machine learning
User re-authentication via mouse movements
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
Kernel density classification and boosting: an L2 analysis
Statistics and Computing
Entropy-based knowledge spreading and application to mobility prediction
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
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
Boosting in the presence of noise
Journal of Computer and System Sciences - Special issue: Learning theory 2003
Boosting with Noisy Data: Some Views from Statistical Theory
Neural Computation
Neural Computation
Improving cooperative GP ensemble with clustering and pruning for pattern classification
Proceedings of the 8th annual conference on Genetic and evolutionary computation
High accuracy retrieval with multiple nested ranker
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A fast learning algorithm for deep belief nets
Neural Computation
An analysis of diversity measures
Machine Learning
Boosting-Based Learning Agents for Experience Classification
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Efficient Margin Maximizing with Boosting
The Journal of Machine Learning Research
Extracting symbolic rules from trained neural network ensembles
AI Communications - Artificial Intelligence Advances in China
Training neural network language models on very large corpora
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Applied Soft Computing
Computational Biology and Chemistry
Some Theory for Generalized Boosting Algorithms
The Journal of Machine Learning Research
A general dimension for query learning
Journal of Computer and System Sciences
Every Linear Threshold Function has a Low-Weight Approximator
Computational Complexity
EROS: Ensemble rough subspaces
Pattern Recognition
A reduction technique for nearest-neighbor classification: Small groups of examples
Intelligent Data Analysis
Induction of decision trees in numeric domains using set-valued attributes
Intelligent Data Analysis
Adjusted estimation for the combination of classifiers
Intelligent Data Analysis
Foundations and Trends® in Computer Graphics and Vision
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study
IEEE Transactions on Knowledge and Data Engineering
Classification tree analysis using TARGET
Computational Statistics & Data Analysis
An efficient modified boosting method for solving classification problems
Journal of Computational and Applied Mathematics
Discrete Applied Mathematics
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
Deterministic neural classification
Neural Computation
Evolvability from learning algorithms
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Eye localization for face matching: is it always useful and under what conditions?
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Random classification noise defeats all convex potential boosters
Proceedings of the 25th international conference on Machine learning
The Journal of Machine Learning Research
Learning unions of ω(1)-dimensional rectangles
Theoretical Computer Science
A Novel Improvement of Neural Network Classification Using Further Division of Partition Space
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Interpretable Piecewise Linear Classifier
Neural Information Processing
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
Aggregation of SVM Classifiers Using Sobolev Spaces
The Journal of Machine Learning Research
INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY
Applied Artificial Intelligence
Stock price effects analysis between US and Taiwanese online stock trading
International Journal of Electronic Finance
Data gravitation based classification
Information Sciences: an International Journal
Improving Promoter Prediction Using Multiple Instance Learning
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Empirical analysis of support vector machine ensemble classifiers
Expert Systems with Applications: An International Journal
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Biometrics and Identity Management
Trading strategy design in financial investment through a turning points prediction scheme
Expert Systems with Applications: An International Journal
Guest Column: correlation bounds for polynomials over {0 1}
ACM SIGACT News
ABC-boost: adaptive base class boost for multi-class classification
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Eye localization in low and standard definition content with application to face matching
Computer Vision and Image Understanding
Ant Clustering Using Ensembles of Partitions
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Boosting Formal Concepts to Discover Classification Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Learning from data with uncertain labels by boosting credal classifiers
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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
What kind of a graphical model is the brain?
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Kernel-matching pursuits with arbitrary loss functions
IEEE Transactions on Neural Networks
Ensemble with neural networks for bankruptcy prediction
Expert Systems with Applications: An International Journal
A hybrid approach for efficient ensembles
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
On the Power of Small-Depth Computation
Foundations and Trends® in Theoretical Computer Science
Artificial Intelligence Review
Cost-sensitive boosting neural networks for software defect prediction
Expert Systems with Applications: An International Journal
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
An approach for selective ensemble feature selection based on rough set theory
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Building classification models from microarray data with tree-based classification algorithms
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
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
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
Multi-labeled Chinese text categorization based on the boosting algorithms
ICNC'09 Proceedings of the 5th international conference on Natural computation
Learning with continuous experts using drifting games
Theoretical Computer Science
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
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
Boosting-based system combination for machine translation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Voting-averaged combination method for regressor ensemble
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Identification of rhetorical roles for segmentation and summarization of a legal judgment
Artificial Intelligence and Law
An L2-boosting algorithm for estimation of a regression function
IEEE Transactions on Information Theory
Adaptive learning of nominal concepts for supervised classification
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
NB+: An improved Naïve Bayesian algorithm
Knowledge-Based Systems
Learning with ensemble of linear perceptrons
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
A DGC-based data classification method used for abnormal network intrusion detection
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive classification of dirt particles in papermaking process
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Studying the hybridization of artificial neural networks in HECIC
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Automatic citrus canker detection from leaf images captured in field
Pattern Recognition Letters
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Multi-view fast object detection by using extended haar filters in uncontrolled environments
Pattern Recognition Letters
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
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
HiPC'05 Proceedings of the 12th international conference on High Performance Computing
Learning DNF by statistical and proper distance queries under the uniform distribution
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Continuous experts and the binning algorithm
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Facial expression recognition based on boostingtree
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Gender classification based on boosting local binary pattern
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Computers and Electronics in Agriculture
Subnet weight modification algorithm for ensemble
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - 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
Parallel perceptrons, activation margins and imbalanced training set pruning
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
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
Boosting multiple classifiers constructed by hybrid discriminant analysis
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
E-CIDIM: ensemble of CIDIM classifiers
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
Text categorization using SVMs with rocchio ensemble for internet information classification
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Selective SVMs ensemble driven by immune clonal algorithm
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Genetic Programming and Evolvable Machines
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
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A multiclass classification framework for document categorization
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
Expert Systems with Applications: An International Journal
CCC: classifier combination via classifier
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
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
Research of neural network classifier based on FCM and PSO for breast cancer classification
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Modular symbiotic adaptive neuro evolution for high dimensionality classificatory problems
Intelligent Decision Technologies
Fast shared boosting for large-scale concept detection
Multimedia Tools and Applications
SIAM Journal on Computing
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
SDAI: An integral evaluation methodology for content-based spam filtering models
Expert Systems with Applications: An International Journal
Comparative analysis of feature selection methods for blood cell recognition in leukemia
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern 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
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
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
Bagging and Boosting statistical machine translation systems
Artificial Intelligence
A Robust Facial Feature Tracking Method Based on Optical Flow and Prior Measurement
International Journal of Cognitive Informatics and Natural Intelligence
A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory
International Journal of Cognitive Informatics and Natural Intelligence
Breast Cancer Diagnosis Using Optimized Attribute Division in Modular Neural Networks
Journal of Information Technology Research
Indexing cognitive workload based on pupillary response under luminance and emotional changes
Proceedings of the 2013 international conference on Intelligent user interfaces
A pattern fusion model for multi-step-ahead CPU load prediction
Journal of Systems and Software
A hierarchical clusterer ensemble method based on boosting theory
Knowledge-Based Systems
Encoding through patterns: Regression tree-based neuronal population models
Neural Computation
A theory of multiclass boosting
The Journal of Machine Learning Research
Coherence functions with applications in large-margin classification methods
The Journal of Machine Learning Research
An ensemble of computational intelligence models for software maintenance effort prediction
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
A survey of multiple classifier systems as hybrid systems
Information Fusion
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles
Machine Vision and Applications
GA-Ensemble: a genetic algorithm for robust ensembles
Computational Statistics
Algorithms and hardness results for parallel large margin learning
The Journal of Machine Learning Research
Genetic ensemble of extreme learning machine
Neurocomputing
Accelerating FCM neural network classifier using graphics processing units with CUDA
Applied Intelligence
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