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Synopsis
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).
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Feature Extraction
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features the results of the NIPS 2003 workshop on feature extractionThis book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has . N° de réf. du vendeur 449138200
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Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207)
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Feature Extraction : Foundations and Applications
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Feature Extraction : Foundations and Applications
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ISBN 13 : 9783662517710
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Taschenbuch. Etat : 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). N° de réf. du vendeur 9783662517710
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Feature Extraction
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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 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). 804 pp. Englisch. N° de réf. du vendeur 9783662517710
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Feature Extraction
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2017, 2017
ISBN 10 : 366251771X
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Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : 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 herein. Fans of Radford Neal and Jianguo Zhang (or of Bayesian neural n- works and Dirichlet di usion trees) are gloating ¿I told you sö 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).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 804 pp. Englisch. N° de réf. du vendeur 9783662517710
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Feature Extraction : Foundations and Applications
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Feature Extraction : Foundations and Applications
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ISBN 10 : 366251771X
ISBN 13 : 9783662517710
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Feature Extraction : Foundations and Applications
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ISBN 13 : 9783662517710
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207)
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