{"product_id":"9781118315231","title":"Combining Pattern Classifiers Methods and Algorithms","description":"\u003ch1\u003eCombining Pattern Classifiers\u003c\/h1\u003e\u003ch2\u003eMethods and Algorithms\u003c\/h2\u003e\u003ch3\u003eLudmila I. Kuncheva\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Imaging Systems\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\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® 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\n\u003c\/div\u003e\u003cdiv\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\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e09 September 2014\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781118315231\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e384\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e26.72\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310332965004,"sku":"9781118315231","price":118.76,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781118315231.jpg?v=1780185993","url":"https:\/\/lateknightbooks.com\/products\/9781118315231","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}