Kuncheva L.I., C.J. Whitaker. Measures of diversity in classifier ensembles
and their relationship with the ensemble accuracy, Machine Learning,
51, 2003, 181-207.
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.
Kuncheva L.I.. That elusive diversity in classifier ensembles, Proc IbPRIA 2003,
Mallorca, Spain, 2003, Lecture Notes in Computer Science, Springer-Verlag,
LNCS 2652, 1126-1138.
Whitaker C.J., L.I. Kuncheva, Examining the relationship between
majority vote accuracy and diversity in bagging and boosting,
Technical Report, 2003, School of Informatics, University of Wales, Bangor.
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.
Shipp C.A. and L.I. Kuncheva. Relationships between combination methods
and measures of diversity in combining classifiers, Information Fusion,
3 (2), 2002, 135-148.
Shipp C.A. and L.I. Kuncheva. An investigation into how AdaBoost
affects classifier diversity, Proc. IPMU 2002, Annecy, France,
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.
Kuncheva L.I., C.J. Whitaker, Ten measures of diversity in classifier
ensembles: Limits for two classifiers, IEE Workshop on Intelligent
Sensor Processing, Birmingham, February, 2001, 10/1-10/6.
Kuncheva L.I., C.J. Whitaker, C.A. Shipp and R.P.W. Duin.
Is independence good for combining classifiers?, Proc. 15th
International Conference on Pattern Recognition, Barcelona,
Spain, 2000, 2, 168-171.