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Pattern recognition and neural networks

作者: Brian D Ripley
出版商: Cambridge : Cambridge Univ. Press, 2009.
版本/格式:   打印圖書 : 英語 : 1. paperback ed. 1997, reprinted 2009所有版本和格式的總覽
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This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based  再讀一些...

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資料類型: 網際網路資源
文件類型 圖書, 網際網路資源
所有的作者/貢獻者: Brian D Ripley
ISBN: 9780521717700 0521717701
OCLC系統控制編碼: 551883623
註釋: Literaturverz. S. [355] - 390.
描述: XII, 403 Seiten : Diagramme
内容: 1. Introduction and examples; 2. Statistical decision theory; 3. Linear discriminant analysis; 4. Flexible discriminants; 5. Feed-forward neural networks; 6. Non-parametric methods; 7. Tree-structured classifiers; 8. Belief networks; 9. Unsupervised methods; 10. Finding good pattern features; Appendix: statistical sidelines; Glossary; References; Author index; Subject index.
責任: B.D. Ripley.

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'The combination of theory and examples makes this a unique and interesting book.' A. Gelman, Journal of the International Statistical Institute 'I can warmly recommend this book. Every researcher 再讀一些...

 
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