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Kuncheva L.I., C.J. Whitaker, C.A. Shipp, R.P.W. Duin. Limits on the majority
vote accuracy in classifier fusion, Pattern Analysis and Applications, 6, 2003, 22-31.
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Kuncheva L.I.. That elusive diversity in classifier ensembles, Proc IbPRIA 2003,
Mallorca, Spain, 2003, Lecture Notes in Computer Science, Springer-Verlag,
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Whitaker C.J., L.I. Kuncheva, Examining the relationship between
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Technical Report, 2003, School of Informatics, University of Wales, Bangor.
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Kuncheva L.I., M. Skurichina, R.P.W. Duin. An experimental study on
diversity for bagging and boosting with linear classifiers,
Information Fusion, 3 (2), 2002, 245-258.
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Shipp C.A. and L.I. Kuncheva. An investigation into how AdaBoost
affects classifier diversity, Proc. IPMU 2002, Annecy, France,
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Kuncheva L.I. and C.J. Whitaker. Using diversity with three
variants of boosting: aggressive, conservative and inverse,
Proc. MCS 2002, Cagliari, Italy, Lecture Notes in Computer
Science, Springer-Verlag, 2364, 81-90.
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Kuncheva L.I., C.J. Whitaker, Ten measures of diversity in classifier
ensembles: Limits for two classifiers, IEE Workshop on Intelligent
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Kuncheva L.I., C.J. Whitaker, C.A. Shipp and R.P.W. Duin.
Is independence good for combining classifiers?, Proc. 15th
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Spain, 2000, 2, 168-171.
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