Feature extraction foundations applications (8 Ergebnisse)
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 778 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 factorofthreeormore,butthe eldhasnotyethadtheimpactexpectedofit. Information Retrieval has had its TREC competition since 1992; progress has been steady and refugees from the competition have played important roles in the hundred-billion-dollar search industry. Robotics has had the DARPA Grand Challenge for only two years, but in that time we have seen the results go from complete failure to resounding success (although it may have helped that the second year's course was somewhat easier than the rst's).
Feature Extraction: Foundations And Applications
Guyon, Isabelle (Editor)/ Gunn, Steve (Editor)/ Nikravesh, Masoud (Editor)/ Zadeh, Lotfi A. (Editor)
Sprache: Englisch
Verlag: Springer Verlag 2006
Serie: Studies in Fuzziness and Soft Computing, Buch 30 von 183. Buch 30 von 183 - Studies in Fuzziness and Soft Computing
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Hardcover. Zustand: Brand New. hardback/cd-rom edition. 778 pages. 9.25x6.25x1.50 inches. In Stock.
Feature Extraction: Foundations and Applications
Guyon, Isabelle (Editor)/ Gunn, Steve (Editor)/ Nikravesh, Masoud (Editor)/ Zadeh, Lofti A. (Editor)
Sprache: Englisch
Verlag: Springer-Verlag New York Inc 2016
Serie: Studies in Fuzziness and Soft Computing, Buch 30 von 183. Buch 30 von 183 - Studies in Fuzziness and Soft Computing
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Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. reprint edition. 804 pages. 9.25x6.10x1.60 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer 2006
Serie: Studies in Fuzziness and Soft Computing, Buch 30 von 183. Buch 30 von 183 - Studies in Fuzziness and Soft Computing
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Buch. Zustand: Neu. Neuware - 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 herei…n. 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 factorofthreeormore,butthe eldhasnotyethadtheimpactexpectedofit. Information Retrieval has had its TREC competition since 1992; progress has been steady and refugees from the competition have played important roles in the hundred-billion-dollar search industry. Robotics has had the DARPA Grand Challenge for only two years, but in that time we have seen the results go from complete failure to resounding success (although it may have helped that the second year's course was somewhat easier than the rst's).
