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MCS
2010
Springer
15 years 7 months ago
"Good" and "Bad" Diversity in Majority Vote Ensembles
Although diversity in classifier ensembles is desirable, its relationship with the ensemble accuracy is not straightforward. Here we derive a decomposition of the majority vote er...
Gavin Brown, Ludmila I. Kuncheva
IJCNN
2006
IEEE
15 years 6 months ago
Evolutionary Ensemble Creation and Thinning
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
Jared Sylvester, Nitesh V. Chawla
81
Voted
MCS
2007
Springer
15 years 6 days ago
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
Nitesh V. Chawla, Jared Sylvester
103
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INFFUS
2002
108views more  INFFUS 2002»
15 years 1 days ago
Relationships between combination methods and measures of diversity in combining classifiers
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
Catherine A. Shipp, Ludmila Kuncheva
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...