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Pattern recognition / Supervised learning / Semi-supervised learning / Neural network / Data mining / Random forest / Computational learning theory / Ensemble learning / Markov chain Monte Carlo / Machine learning / Artificial intelligence / Learning


Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet
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Document Date: 2015-02-05 08:23:09


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File Size: 3,32 MB

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City

Boca Raton / Cambridge / Reading / Danvers / /

Company

Chapman & Hall/CRC Press / Thore Graepel Microsoft Research Ltd. / CRC Press Taylor & Francis Group / Taylor & Francis Group / Taylor & Francis Group LLC / Clearance Center Inc. / /

Event

Product Issues / /

Facility

Oregon State University / University of Cagliari An / /

IndustryTerm

medical imaging / neural networks / data mining / natural language processing / famous data mining competitions / /

NaturalFeature

Random Forest / /

Organization

Copyright Clearance Center / Preface Ensemble / U.S. Government / Oregon State University / University of Cagliari An / International Machine Learning Society / /

Person

Zhi-Hua Zhou Chapman / Randi Cohen / Zhi-Hua Zhou Nanjing / Simon Rogers / Fabio Roli / Xu-Ying Liu / Ralf Herbrich / Nan Li / Nitin Indurkhya / Craig Friedman / Mark Girolami / Yang Yu / Zhi-Hua Zhou / Fred J. Damerau / Tom Dietterich / Jianxin Wu / Sven Sandow / Min-Ling Zhang / /

/

Position

author / Professor / founding president / /

Product

Sound / /

ProgrammingLanguage

FL / D / /

ProvinceOrState

Florida / Massachusetts / /

Technology

neuroscience / bioinformatics / natural language processing / classic Boosting algorithms / data mining / machine learning / PDF / medical imaging / /

URL

www.copyright.com / http /

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