{"product_id":"combining-pattern-classifiers-methods-and-algorithms-9781118315231","title":"Combining Pattern Classifiers: Methods and Algorithms","description":"\u003cb\u003eA unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second edition\u003c\/b\u003e \u003cp\u003eThe art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of \u003ci\u003eCombining Pattern Classifiers\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThoroughly updated, with MATLAB(R) code and practice data sets throughout, \u003ci\u003eCombining Pattern Classifiers\u003c\/i\u003e includes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eCoverage of Bayes decision theory and experimental comparison of classifiers\u003c\/li\u003e \u003cli\u003eEssential ensemble methods such as Bagging, Random forest, AdaBoost, Random subspace, Rotation forest, Random oracle, and Error Correcting Output Code, among others\u003c\/li\u003e \u003cli\u003eChapters on classifier selection, diversity, and ensemble feature selection\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWith firm grounding in the fundamentals of pattern recognition, and featuring more than 140 illustrations, \u003ci\u003eCombining Pattern Classifiers, Second Edition\u003c\/i\u003e is a valuable reference for postgraduate students, researchers, and practitioners in computing and engineering.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ludmila I. Kuncheva\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/09\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 384\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.65lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.30h x 6.20w x 1.10d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781118315231\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLudmila Kuncheva\u003c\/b\u003e 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.\u003c\/p\u003e\u003cbr\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":40891906949235,"sku":"9.78112E+12","price":193.13,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_b46d6bda-ea3d-4367-ad50-c55d79f97ae1.jpg?v=1689857964","url":"https:\/\/bookstorenmore.com\/products\/combining-pattern-classifiers-methods-and-algorithms-9781118315231","provider":"Bookstore N More","version":"1.0","type":"link"}