Communications of the ACM
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
What size net gives valid generalization?
Neural Computation
The Strength of Weak Learnability
Machine Learning
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
C4.5: programs for machine learning
C4.5: programs for machine learning
Cryptographic limitations on learning Boolean formulae and finite automata
Journal of the ACM (JACM)
An introduction to computational learning theory
An introduction to computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Boosting a weak learning algorithm by majority
Information and Computation
Game theory, on-line prediction and boosting
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
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
Training methods for adaptive boosting of neural networks
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Using output codes to boost multiclass learning problems
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
An empirical evaluation of bagging and boosting
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
IEEE Transactions on Information Theory
Dynamic Integration of Decision Committees
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Decision-Rule Solutions for Data Mining with Missing Values
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Bagging and Boosting with Dynamic Integration of Classifiers
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Learning First Order Logic Time Series Classifiers: Rules and Boosting
PKDD '00 Proceedings of the 4th 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
Ensemble Feature Selection Based on the Contextual Merit
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Data Squashing for Speeding Up Boosting-Based Outlier Detection
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Applying Boosting to Similarity Literals for Time Series Classification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Learning Classification RBF Networks by Boosting
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Performance Degradation in Boosting
MCS '01 Proceedings of the Second 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
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
Boosting, Bagging, and Consensus Based Classification of Multisource Remote Sensing Data
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Evolutionary Methods to Create Interpretable Modular System
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Boosting over Groups and Its Application to Acronym-Expansion Extraction
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Combining Classifiers through Triplet-Based Belief Functions
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Parallel Fuzzy Reasoning Models with Ensemble Learning
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Unknown Malcode Detection Using OPCODE Representation
EuroISI '08 Proceedings of the 1st European Conference on Intelligence and Security Informatics
Video Fingerprinting by Using Boosted Features
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Haar-like features with optimally weighted rectangles for rapid object detection
Pattern Recognition
Classifier combination techniques applied to coreference resolution
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Image categorization combining neighborhood methods and boosting
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Boosting and instability for regression trees
Computational Statistics & Data Analysis
A hybrid approach for efficient ensembles
Decision Support Systems
A novel ensemble machine learning for robust microarray data classification
Computers in Biology and Medicine
Neuro-fuzzy Rough Classifier Ensemble
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Neural Network Ensembles from Training Set Expansions
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A Rapidly Trainable and Global Illumination Invariant Object Detection System
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Robust servo-control for underwater robots using banks of visual filters
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Improving software-quality predictions with data sampling and boosting
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Boosting with pairwise constraints
Neurocomputing
Support vector machines of interval-based features for time series classification
Knowledge-Based Systems
Boosting lite: handling larger datasets and slower base classifiers
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
The class imbalance problem in UCS classifier system: a preliminary study
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Modular rough neuro-fuzzy systems for classification
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Modular type-2 neuro-fuzzy systems
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
A content based image retrieval system for a biological specimen collection
Computer Vision and Image Understanding
Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding
International Journal of Computer Vision
An introduction to 3D spatial interaction with video game motion controllers
ACM SIGGRAPH 2010 Courses
On the detection of textual information in metro stations
Proceedings of the 7th International Conference on Frontiers of Information Technology
Evaluating point-based POMDP solvers on multicore machines
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Modular neuro-fuzzy systems based on generalized parametric triangular norms
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
PAGER: parameterless, accurate, generic, efficient kNN-based regression
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Learning graphical models for hypothesis testing and classification
IEEE Transactions on Signal Processing
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks
Neural Processing Letters
An algorithm on multi-view adaboost
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
NB+: An improved Naïve Bayesian algorithm
Knowledge-Based Systems
Borderline over-sampling for imbalanced data classification
International Journal of Knowledge Engineering and Soft Data Paradigms
Cooperative evolutive concept learning: an empirical study
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
An ensemble of logical-type neuro-fuzzy systems
Expert Systems with Applications: An International Journal
Predicting relative prominence in noun-noun compounds
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Active learning to maximize accuracy vs. effort in interactive information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving subtree-based question classification classifiers with word-cluster models
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
An ensemble of degraded neural networks
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Person re-identification in TV series using robust face recognition and user feedback
Multimedia Tools and Applications
3D spatial interaction: applications for art, design, and science
ACM SIGGRAPH 2011 Courses
Boosting binding sites prediction using gene's positions
WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
Adaboost ensemble of DCOG rough-neuro-fuzzy systems
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Hybrid face recognition based on real-time multi-camera stereo-matching
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Combination of boosted classifiers using bounded weights
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Two-Stage classifier for diagnosis of hypertension type
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Gender classification of faces using adaboost
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
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
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
Boosting classifiers for music genre classification
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
A boosting SVM chain learning for visual information retrieval
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
ECML'05 Proceedings of the 16th European conference on Machine Learning
HyParSVM: a new hybrid parallel software for support vector machine learning on SMP clusters
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
A multi-agent system for protein secondary structure prediction
Transactions on Computational Systems Biology III
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
Computing confidence measures in stochastic logic programs
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Boosted decision trees for diagnosis type of hypertension
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Modelling metabolic pathways using stochastic logic programs-based ensemble methods
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
Using a boosted tree classifier for text segmentation in hand-annotated documents
Pattern Recognition Letters
Combining logical-type neuro-fuzzy systems
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Boosting ensemble of relational neuro-fuzzy systems
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
The problem of bias in training data in regression problems in medical decision support
Artificial Intelligence in Medicine
A probabilistic model for multimodal hash function learning
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Mal-ID: automatic malware detection using common segment analysis and meta-features
The Journal of Machine Learning Research
BINER: BINary search based efficient regression
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Local Feature Selection with Dynamic Integration of Classifiers
Fundamenta Informaticae - Intelligent Systems
Feature selection for enhanced spectral shape comparison
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
Privacy preserving boosting in the cloud with secure half-space queries
Proceedings of the 2012 ACM conference on Computer and communications security
Metaphor: a system for related search recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning from mistakes: towards a correctable learning algorithm
Proceedings of the 21st ACM international conference on Information and knowledge management
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
A Multi-Expert System for chlorine electrolyzer monitoring
Expert Systems with Applications: An International Journal
Proceedings of the 2013 international conference on Intelligent user interfaces
Crowdfunding support tools: predicting success & failure
CHI '13 Extended Abstracts on Human Factors in Computing Systems
A predictive model for advertiser value-per-click in sponsored search
Proceedings of the 22nd international conference on World Wide Web
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Adaptive error-correcting output codes
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Future Generation Computer Systems
A framework for selection and fusion of pattern classifiers in multimedia recognition
Pattern Recognition Letters
Active tracking and pursuit under different levels of occlusion: a two-layer approach
Machine Vision and Applications
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Boosting is a general method for improving the accuracy of any given learning algorithm. This short paper introduces the boosting algorithm AdaBoost, and explains the underlying theory of boosting, including an explanation of why boosting often does not suffer from overfitting. Some examples of recent applications of boosting are also described.