Inductive knowledge acquisition: a case study
Proceedings of the Second Australian Conference on Applications of expert systems
An incremental method for finding multivariate splits for decision trees
Proceedings of the seventh international conference (1990) on Machine learning
C4.5: programs for machine learning
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Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Constructing nominal X-of-N attributes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Boosting classifiers regionally
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Multiclass learning, boosting, and error-correcting codes
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Estimating generalization error using out-of-bag estimates
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
Feature selection for ensembles
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Prediction games and arcing algorithms
Neural Computation
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Text filtering by boosting naive Bayes classifiers
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Learning middle-game patterns in chess: a case study
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
Using a Neural Network to Approximate an Ensemble of Classifiers
Neural Processing Letters
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive Partitioning Technique for Combining Multiple Classifiers
Neural Processing Letters
Upper Bounds for Error Rates of Linear Combinations of Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inducing classification and regression trees in first order logic
Relational Data Mining
Relational learning and boosting
Relational Data Mining
Ensembling neural networks: many could be better than all
Artificial Intelligence
Boosting to correct inductive bias in text classification
Proceedings of the eleventh international conference on Information and knowledge management
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Bootstrapping to Assess and Improve Atmospheric Prediction Models
Data Mining and Knowledge Discovery
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Linear Programming Boosting via Column Generation
Machine Learning
Boosting Methods for Regression
Machine Learning
Scoring the Data Using Association Rules
Applied Intelligence
An Instance-Weighting Method to Induce Cost-Sensitive Trees
IEEE Transactions on Knowledge and Data Engineering
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
IEEE Transactions on Knowledge and Data Engineering
A geometric approach to leveraging weak learners
Theoretical Computer Science
Improving nonparametric regression methods by bagging and boosting
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Distributed mining of classification rules
Knowledge and Information Systems
Distributed learning with bagging-like performance
Pattern Recognition Letters
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Empirical Study of MetaCost Using Boosting Algorithms
ECML '00 Proceedings of the 11th European Conference on Machine Learning
On the Boosting Pruning Problem
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Estimating the Predictive Accuracy of a Classifier
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Scaling Boosting by Margin-Based Inclusionof Features and Relations
ECML '02 Proceedings of the 13th European Conference on Machine Learning
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Pairwise Classification as an Ensemble Technique
ECML '02 Proceedings of the 13th European Conference on Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Challenges for Inductive Logic Programming
EPIA '99 Proceedings of the 9th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Induction of Decision Multi-trees Using Levin Search
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Automatic Identification of Diatoms Using Decision Forests
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Shared Ensemble Learning Using Multi-trees
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Diagnostic Rules of Increased Reliability for Critical Medical Applications
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Wrapping Boosters against Noise
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
From Computational Learning Theory to Discovery Science
ICAL '99 Proceedings of the 26th International Colloquium on Automata, Languages and Programming
Learning to Adapt for Case-Based Design
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
SMILES: A Multi-purpose Learning System
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Is a Greedy Covering Strategy an Extreme Boosting?
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Improving the Performance of Boosting for Naive Bayesian Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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
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
Stacking for Misclassification Cost Performance
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
From Ensemble Methods to Comprehensible Models
DS '02 Proceedings of the 5th International Conference on Discovery Science
Constructing Inductive Applications by Meta-Learning with Method Repositories
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Instance Guided Rule Induction
DS '98 Proceedings of the First International Conference on Discovery Science
DS '98 Proceedings of the First International Conference on Discovery Science
Design and Evaluation of an Environment to Automate the Construction of Inductive Applications
DS '99 Proceedings of the Second International Conference on Discovery Science
Weighted Majority Decision among Several Region Rules for Scientific Discovery
DS '99 Proceedings of the Second International Conference on Discovery Science
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
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
The ``Test and Select'' Approach to Ensemble Combination
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Classifier Instability and Partitioning
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
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Highlighting Hard Patterns via AdaBoost Weights Evolution
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Resampling vs Reweighting in Boosting a Relational Weak Learner
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
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
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
An Empirical Comparison of Pruning Methods for Ensemble Classifiers
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Optimizing a Multiple Classifier System
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Algorithmic Aspects of Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
A refinement approach to handling model misfit in text categorization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Minimum majority classification and boosting
Eighteenth national conference on Artificial intelligence
Data mining tasks and methods: Classification: decision-tree discovery
Handbook of data mining and knowledge discovery
Online Ensemble Learning: An Empirical Study
Machine Learning
The Journal of Machine Learning Research
Boosted Audio-Visual HMM for Speech Reading
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Combining Multiple Weak Clusterings
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
IEEE Transactions on Knowledge and Data Engineering
Naive Bayes vs decision trees in intrusion detection systems
Proceedings of the 2004 ACM symposium on Applied computing
Improvement of Boosting Algorithm by Modifying the Weighting Rule
Annals of Mathematics and Artificial Intelligence
Message classification in the call center
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Machine Learning
A Data Mining Approach for Retailing Bank Customer Attrition Analysis
Applied Intelligence
On approximating weighted sums with exponentially many terms
Journal of Computer and System Sciences
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins
The Journal of Machine Learning Research
Mining top-K covering rule groups for gene expression data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Evolving rule-based systems in two medical domains using genetic programming
Artificial Intelligence in Medicine
Clustering Ensembles: Models of Consensus and Weak Partitions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
Neural Computation
Boosting the distance estimation
Pattern Recognition Letters
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Boosting an Associative Classifier
IEEE Transactions on Knowledge and Data Engineering
Effective rule induction from labeled graphs
Proceedings of the 2006 ACM symposium on Applied computing
How boosting the margin can also boost classifier complexity
ICML '06 Proceedings of the 23rd international conference on Machine learning
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction
Journal of Management Information Systems - Special section: Data mining
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
Local Feature Selection with Dynamic Integration of Classifiers
Fundamenta Informaticae - Intelligent Systems
Kernel matching pursuit classifier ensemble
Pattern Recognition
Classification by evolutionary ensembles
Pattern Recognition
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
Pattern Recognition Letters
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
Measuring conference quality by mining program committee characteristics
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
A boosting approach for corporate failure prediction
Applied Intelligence
Evolving Lucene search queries for text classification
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Pattern Recognition
Robust face detection in airports
EURASIP Journal on Applied Signal Processing
Intelligent Data Analysis
Boosting strategy for classification
Intelligent Data Analysis
Adaptive boosting techniques in heterogeneous and spatial databases
Intelligent Data Analysis
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Combining rough decisions for intelligent text mining using Dempster's rule
Artificial Intelligence Review
Discrete Applied Mathematics
End user friendly data mining with decision trees: a reality or a wish?
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Feature Extraction for Dynamic Integration of Classifiers
Fundamenta Informaticae
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Boosting: a classification method for remote sensing
International Journal of Remote Sensing
Class-switching neural network ensembles
Neurocomputing
Investigating methods for improving bagged k-NN classifiers
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Parameter-Based Categorization for Musical Instrument Retrieval
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Efficient Incremental Learning Using Self-Organizing Neural Grove
Neural Information Processing
Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An Empirical Study of Combined Classifiers for Knowledge Discovery on Medical Data Bases
Advanced Web and NetworkTechnologies, and Applications
Collective-agreement-based pruning of ensembles
Computational Statistics & Data Analysis
Spam decisions on gray e-mail using personalized ontologies
Proceedings of the 2009 ACM symposium on Applied Computing
Improved AdaBoost.M1 of decision trees with confidence-rated predictions
Proceedings of the 2009 ACM symposium on Applied Computing
Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Boosting k-nearest neighbor classifier by means of input space projection
Expert Systems with Applications: An International Journal
Supervised projection approach for boosting classifiers
Pattern Recognition
Learning to assess the quality of scientific conferences: a case study in computer science
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
On the Effectiveness of Diversity When Training Multiple Classifier Systems
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Improved Uniformity Enforcement in Stochastic Discrimination
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Out-of-bag estimation of the optimal sample size in bagging
Pattern Recognition
Maintenance by a Committee of Experts: The MACE Approach to Case-Base Maintenance
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Computational Statistics & Data Analysis
Journal of Artificial Intelligence Research
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Monte Carlo theory as an explanation of bagging and boosting
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Top-down induction of first-order logical decision trees
Artificial Intelligence
Accuracy of intelligent medical systems
Computer Methods and Programs in Biomedicine
Constructing ensembles of classifiers by means of weighted instance selection
IEEE Transactions on Neural Networks
Rotation-based model trees for classification
International Journal of Data Analysis Techniques and Strategies
Ensemble with neural networks for bankruptcy prediction
Expert Systems with Applications: An International Journal
Processing of transcranial doppler for assessment of blood volume loss
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Keystroke-Based User Identification on Smart Phones
RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
Computing a Comprehensible Model for Spam Filtering
DS '09 Proceedings of the 12th International Conference on Discovery Science
Artificial Intelligence Review
Ads-portal domains: Identification and measurements
ACM Transactions on the Web (TWEB)
Switching class labels to generate classification ensembles
Pattern Recognition
Chinese text categorization based on the binary weighting model with non-binary smoothing
ECIR'03 Proceedings of the 25th European conference on IR research
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Ensemble techniques for parallel genetic programming based classifiers
EuroGP'03 Proceedings of the 6th 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
Improving performance of a multiple classifier system using self-generating neural networks
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
An empirical evaluation of bagging in inductive logic programming
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Generalisation and model selection in supervised learning with evolutionary computation
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Effective pruning method for a multiple classifier system based on self-generating neural networks
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
The impact of random samples in ensemble classifiers
Proceedings of the 2010 ACM Symposium on Applied Computing
Out of bootstrap estimation of generalization error curves in bagging ensembles
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Real-time intelligent decision support system for bridges structures behavior prediction
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Selective ensemble of decision trees
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
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
Evaluating accuracies of a trading rule mining method based on temporal pattern extraction
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
A study on feature weighting in Chinese text categorization
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Lexicographic multi-objective evolutionary induction of decision trees
International Journal of Bio-Inspired Computation
A comparison study of strategies for combining classifiers from distributed data sources
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
An A-Team approach to learning classifiers from distributed data sources
International Journal of Intelligent Information and Database Systems
Learning to combine discriminative classifiers: confidence based
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Expert Systems with Applications: An International Journal
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
Selecting useful features for personal credit risk analysis
International Journal of Business Information Systems
Robust Pose Recognition of the Obscured Human Body
International Journal of Computer Vision
A low variance error boosting algorithm
Applied Intelligence
Combining multiple classification or regression models using genetic algorithms
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Incremental learning using self-organizing neural grove
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Asymmetrically boosted HMM for speech reading
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An agent-based framework for distributed learning
Engineering Applications of Artificial Intelligence
S-adaboost and pattern detection in complex environment
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Diagnosing performance changes by comparing request flows
Proceedings of the 8th USENIX conference on Networked systems design and implementation
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
A comparison of soft fusion methods under different bagging scenarios
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Distributed learning with data reduction
Transactions on computational collective intelligence IV
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin
The Journal of Machine Learning Research
Tight combinatorial generalization bounds for threshold conjunction rules
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
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
ACE-Cost: acquisition cost efficient classifier by hybrid decision tree with local SVM leaves
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Expert Systems with Applications: An International Journal
Multiple sets of rules for text categorization
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
An experimental study of boosting model classifiers for chinese text categorization
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
GP ensemble for distributed intrusion detection systems
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
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
Combining active learning and semi-supervised for improving learning performance
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Bagging model trees for classification problems
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
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
Many are better than one: improving probabilistic estimates from decision trees
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Dynamic ensemble re-construction for better ranking
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Model trees for classification of hybrid data types
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Object detection via fusion of global classifier and part-based classifier
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Building ensembles of neural networks with class-switching
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Automatic microcalcification and cluster detection for digital and digitised mammograms
Knowledge-Based Systems
Variable consistency bagging ensembles
Transactions on Rough Sets XI
ECML'05 Proceedings of the 16th European conference on Machine Learning
Observations on boosting feature selection
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Using boosting learning method for intrusion detection
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Boosted decision trees for diagnosis type of hypertension
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Supervised subspace projections for constructing ensembles of classifiers
Information Sciences: an International Journal
On the use of selective ensembles for relevance classification in case-based web search
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Comparing ensembles of learners: detecting prostate cancer from high resolution MRI
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Handling different categories of concept drifts in data streams using distributed GP
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Pruning adaptive boosting ensembles by means of a genetic algorithm
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
Expert Systems with Applications: An International Journal
Direct marketing with fewer mistakes
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
An empirical evaluation of bagging with different algorithms on imbalanced data
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
A new ensemble method for gold mining problems: Predicting technology transfer
Electronic Commerce Research and Applications
The sum is greater than the parts: ensembling models of student knowledge in educational software
ACM SIGKDD Explorations Newsletter
A noise-detection based AdaBoost algorithm for mislabeled data
Pattern Recognition
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
Feature Extraction for Dynamic Integration of Classifiers
Fundamenta Informaticae
Analysis and detection of web spam by means of web content
IRFC'12 Proceedings of the 5th conference on Multidisciplinary Information Retrieval
Local Feature Selection with Dynamic Integration of Classifiers
Fundamenta Informaticae - Intelligent Systems
Dietary patterns analysis using data mining method. An application to data from the CYKIDS study
Computer Methods and Programs in Biomedicine
International Journal of Computer Vision
An analysis of how ensembles of collective classifiers improve predictions in graphs
Proceedings of the 21st ACM international conference on Information and knowledge management
Defect cluster recognition system for fabricated semiconductor wafers
Engineering Applications of Artificial Intelligence
EvoBIO'13 Proceedings of the 11th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Learning regression ensembles with genetic programming at scale
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A hierarchical clusterer ensemble method based on boosting theory
Knowledge-Based Systems
Empirical study of bagging predictors on medical data
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Confidence-based multiclass AdaBoost for physical activity monitoring
Proceedings of the 2013 International Symposium on Wearable Computers
On the necessity of irrelevant variables
The Journal of Machine Learning Research
On the doubt about margin explanation of boosting
Artificial Intelligence
SAAD, a content based Web Spam Analyzer and Detector
Journal of Systems and Software
Expert Systems with Applications: An International Journal
User demographics prediction based on mobile data
Pervasive and Mobile Computing
A real-time transportation prediction system
Applied Intelligence
Boosting-SVM: effective learning with reduced data dimension
Applied Intelligence
Ant Colony Algorithms for Data Learning
International Journal of Applied Evolutionary Computation
Combining multiple predictive models using genetic algorithms
Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data
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Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classifier learning systems. Both form a set of classifiers that are combined by voting, bagging by generating replicated bootstrap samples of the data, and boosting by adjusting the weights of training instances. This paper reports results of applying both techniques to a system that learns decision trees and testing on a representative collection of datasets. While both approaches substantially improve predictive accuracy, boosting shows the greater benefit. On the other hand, boosting also produces severe degradation on some datasets. A small change to the way that boosting combines the votes of learned classifiers reduces this downside and also leads to slightly better results on most of the datasets considered.