Combining Pattern Classifiers: Methods and Algorithms
Language: English
Published by Wiley, 2014
- Hardcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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In English.
Seller Inventory # ria9781118315231_new
- Title
- Combining Pattern Classifiers: Methods and Algorithms
- Author
- Kuncheva, Ludmila I.
- Publisher
- Wiley
- Publication year
- 2014
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1118315235
- ISBN 13
- 9781118315231
- Edition
- 2nd Edition
- Item weight
- 878 grams
The art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004. Dr. Kuncheva has plucked from the rich landscape of recent classifier ensemble literature the topics, methods, and algorithms that will guide the reader toward a deeper understanding of the fundamentals, design, and applications of classifier ensemble methods.
Thoroughly updated, with MATLAB® code and practice data sets throughout, Combining Pattern Classifiers 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
With firm grounding in the fundamentals of pattern recognition, and featuring more than 140 illustrations, Combining Pattern Classifiers, Second Edition is a valuable reference for postgraduate students, researchers, and practitioners in computing and engineering.
"Synopsis" may belong to another edition of this title.
About the Author
Ludmila Kuncheva is a Professor of Computer Science at Bangor University, United Kingdom. She has received two IEEE Best Paper awards. In 2012, Dr. Kuncheva was awarded a Fellowship to the International Association for Pattern Recognition (IAPR) for her contributions to multiple classifier systems.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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