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<図書>
Learning from data : concepts, theory, and methods

責任表示 Vladimir Cherkassky, Filip Mulier
データ種別 図書
2nd ed
出版情報 [Piscataway, N.J.] : IEEE Press
Hoboken, N.J. : John Wiley , c2007
本文言語 英語
大きさ xviii, 538 p. : ill. ; 25 cm
概要 An interdisciplinary framework for learning methodologies--covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dep...ndencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied--showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text. 続きを見る

所蔵情報



芸工図 2F 工学図書室 548.1/C39 2007
013212007002821

書誌詳細

著者標目 *Cherkassky, Vladimir S.
Mulier, Filip
件 名 LCSH:Adaptive signal processing
LCSH:Machine learning
LCSH:Neural networks (Computer science)
LCSH:Fuzzy systems
分 類 LCC:TK5102.9
DC22:006.3/1
書誌ID 1001335620
ISBN 9780471681823
NCID BA83423504
巻冊次 ISBN:9780471681823
登録日 2009.09.18
更新日 2017.10.03

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