| 書目名稱 | Feature Extraction |
| 副標(biāo)題 | Foundations and Appl |
| 編輯 | Isabelle Guyon,Masoud Nikravesh,Lotfi A. Zadeh |
| 視頻video | http://file.papertrans.cn/342/341559/341559.mp4 |
| 概述 | Features the results of the NIPS 2003 workshop on feature extraction.Includes supplementary material: |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | Everyonelovesagoodcompetition. AsIwritethis,twobillionfansareeagerly anticipating the 2006 World Cup. Meanwhile, a fan base that is somewhat smaller (but presumably includes you, dear reader) is equally eager to read all about the results of the NIPS 2003 Feature Selection Challenge, contained herein. Fans of Radford Neal and Jianguo Zhang (or of Bayesian neural n- works and Dirichlet di?usion trees) are gloating “I told you so” and looking forproofthattheirwinwasnota?uke. Butthematterisbynomeanssettled, and fans of SVMs are shouting “wait ’til next year!” You know this book is a bit more edgy than your standard academic treatise as soon as you see the dedication: “To our friends and foes. ” Competition breeds improvement. Fifty years ago, the champion in 100m butter?yswimmingwas22percentslowerthantoday’schampion;thewomen’s marathon champion from just 30 years ago was 26 percent slower. Who knows how much better our machine learning algorithms would be today if Turing in 1950 had proposed an e?ective competition rather than his elusive Test? But what makes an e?ective competition? The ?eld of Speech Recognition hashadNIST-runcompetitionssince1988;errorrateshavebeenreducedbya factor |
| 出版日期 | Book 2006 |
| 關(guān)鍵詞 | Feature Extraction; Feature Selection; Fuzzy; Machine Learning; Statistical Learning; algorithm; algorithm |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-35488-8 |
| isbn_softcover | 978-3-662-51771-0 |
| isbn_ebook | 978-3-540-35488-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手機(jī)版|小黑屋|
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