Ludmila I.Kuncheva – Combining Pattern Classifiers

LUDMILA I.KUNCHEVA – COMBINING PATTERN CLASSIFIERS

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In its second edition, there is a unified treatment of current classifier ensemble methods, from basics of pattern recognition to ensemble feature selection.

Since the first edition of the book, the art and science of combining pattern classifiers has flourished. The pattern Classifiers are combined. It was published in 2004. The topics, methods, and algorithms that Dr. Kuncheva has plucked from the rich landscape of recent literature will guide the reader toward a deeper understanding of the basics.

Thoroughly updated with practice data sets. The pattern Classifiers are combined. includes:

• Coverage of Bayes decision theory and experimental comparison of classifiers
• Essential ensemble methods such as Bagging, Random forest, AdaBoost, Random subspace, Rotation forest, Random oracle, and Error Correcting Output Code, among others
• Chapters on classifier selection, diversity, and ensemble feature selection

The basics of pattern recognition are covered with more than 140 illustrations. Second edition of Combining Pattern Classifiers. It is a good reference for postgraduate students in computing and engineering.

Information about the author.

The person is Ludmila Kuncheva. He is a professor at Bangor University. She received two awards. The International Association for Pattern Recognition awarded Dr. Kuncheva a fellowship in 2012 for her contributions to multiple classification systems.