Isabelle Guyon Steve Gunn Lofti (21 results)

Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations.

Hardcover. Condition: Fine. 3540354875 Near Fine/Like New; Hardcover; This book is brand new and still sealed in the publisher's original shrinkwrap; Corners are slightly "bumped" through the plastic; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Orange and dark blue covers with title in dark blue and white lettering; 2006, Springer-Verlag Publishing; 778 pages; "Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)," by Isabelle Guyon, et al.

Condition: New.

Condition: 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 .

Condition: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 2.78.

Condition: New. In.

Condition: New. In.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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).

Condition: New.

Hardcover. Condition: new. Hardcover. 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?yswimmingwas22percentslowerthantodayschampion;thewomens 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 years course was somewhat easier than the ?rsts). Fifty years ago, the champion in 100m butter?yswimmingwas22percentslowerthantodayschampion;thewomens 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? Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. 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?yswimmingwas22percentslowerthantodayschampion;thewomens 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 years course was somewhat easier than the ?rsts). Fifty years ago, the champion in 100m butter?yswimmingwas22percentslowerthantodayschampion;thewomens 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? Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Paperback. Condition: Brand New. reprint edition. 804 pages. 9.25x6.10x1.60 inches. In Stock.

Hardcover. Condition: Brand New. hardback/cd-rom edition. 778 pages. 9.25x6.25x1.50 inches. In Stock.

Gebunden. Condition: New. 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 .

Hardcover. Condition: new. Hardcover. 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?yswimmingwas22percentslowerthantodayschampion;thewomens 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 years course was somewhat easier than the ?rsts). Fifty years ago, the champion in 100m butter?yswimmingwas22percentslowerthantodayschampion;thewomens 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? Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. 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?yswimmingwas22percentslowerthantodayschampion;thewomens 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 years course was somewhat easier than the ?rsts). Fifty years ago, the champion in 100m butter?yswimmingwas22percentslowerthantodayschampion;thewomens 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? Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.