Items related to Feature Extraction: Foundations and Applications (Studies...
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207) - Softcover
Synopsis
This 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 been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
"synopsis" may belong to another edition of this title.
From the Back Cover
This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction.
"This book compiles some very promising techniques, coming from an extremely smart collection of researchers, delivering their best ideas in a competitive environment."
Trevor Hastie, Stanford University
"Feature selection is a key technology for making sense of the high dimensional data. Isabelle Guyon et al. have done a splendid job in designing a challenging competition, and collecting the lessons learned."
Bernhard Schoelkopf, Max Planck Institute
"There has been until now insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons. This volume is noteworthy for the breadth of methods covered, the clarity of presentations, the unity in notation and the helpful statistical appendices."
David G. Stork, Ricoh Innovations
"Feature extraction finds application in biotechnology, industrial inspection, the Internet, radar, sonar, and speech recognition. This book will make a difference to the literature on machine learning."
Simon Haykin, Mc Master University
"This book sets a high standard as the public record of an interesting and effective competition."
Peter Norvig, Google Inc.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2017
- ISBN 10 366251771X
- ISBN 13 9783662517710
- BindingPaperback
- LanguageEnglish
- Number of pages802
- EditorGuyon Isabelle, Gunn Steve, Nikravesh Masoud, Zadeh Lofti A.
Buy New
Learn more about this copy
US$ 279.11
Shipping:
US$ 2.64
Within U.S.A.
Other Popular Editions of the Same Title
Top Search Results from the AbeBooks Marketplace
Seller Image
Feature Extraction : Foundations and Applications
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 29202804-n
Quantity: Over 20 available
Seller Image
Feature Extraction : Foundations and Applications
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 29202804
Quantity: Over 20 available
Seller Image
Feature Extraction
Published by
Springer Berlin Heidelberg, 2017
ISBN 10: 366251771X
ISBN 13: 9783662517710
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
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 . Seller Inventory # 449138200
Quantity: Over 20 available
Seller Image
Feature Extraction
Published by
Springer Berlin Heidelberg Apr 2017, 2017
ISBN 10: 366251771X
ISBN 13: 9783662517710
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783662517710
Quantity: 2 available
Seller Image
Feature Extraction : Foundations and Applications
Published by
Springer Berlin Heidelberg, 2017
ISBN 10: 366251771X
ISBN 13: 9783662517710
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
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). Seller Inventory # 9783662517710
Quantity: 1 available
Stock Image
Feature Extraction (Paperback)
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2017
ISBN 10: 366251771X
ISBN 13: 9783662517710
New
Paperback
Seller: Grand Eagle Retail, Wilmington, DE, U.S.A.
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783662517710
Quantity: 1 available
Stock Image
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207)
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783662517710
Quantity: Over 20 available
Stock Image
Feature Extraction: Foundations and Applications
Published by
Springer-Verlag New York Inc, 2016
ISBN 10: 366251771X
ISBN 13: 9783662517710
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. reprint edition. 804 pages. 9.25x6.10x1.60 inches. In Stock. Seller Inventory # x-366251771X
Quantity: 2 available
Stock Image
Feature Extraction (Paperback)
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2017
ISBN 10: 366251771X
ISBN 13: 9783662517710
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783662517710
Quantity: 1 available