<図書>
Learning from data : concepts, theory, and methods
責任表示 | Vladimir Cherkassky, Filip Mulier |
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データ種別 | 図書 |
版 | 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
状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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芸工図 2F 工学図書室 | 548.1/C39 | 2007 |
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013212007002821 |
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書誌詳細
著者標目 | *Cherkassky, Vladimir S. Mulier, Filip |
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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 |