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Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
Machine Learning · 2003 · Vol. 51(2) · pp. 181–207
Ludmila I. Kuncheva✉(Bangor University)Christopher J. Whitaker(Bangor University)
Imbalanced Data Classification TechniquesMachine Learning and Data ClassificationFace and Expression RecognitionPairwise comparisonEntropy (arrow of time)Classifier (UML)StatisticArtificial intelligenceMathematicsCorrelationDiversity (politics)Computer scienceStatistics
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An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
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Decision templates for multiple classifier fusion: an experimental comparison
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The random subspace method for constructing decision forests
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998 · 6,773 citations
Neural network ensembles
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1990 · 4,231 citations
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
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