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Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207) - Hardcover
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.
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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.
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- PublisherSpringer
- Publication date2006
- ISBN 10 3540354875
- ISBN 13 9783540354871
- BindingHardcover
- LanguageEnglish
- Number of pages802
- EditorGuyon Isabelle, Gunn Steve, Nikravesh Masoud, Zadeh Lofti A.
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Feature Extraction: Foundations And Applications
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2006
ISBN 10: 3540354875
ISBN 13: 9783540354871
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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. Seller Inventory # E-521-541
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Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
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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. Seller Inventory # SKU-U97GA09605109
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Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207)
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Feature Extraction (Hardcover)
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2006
ISBN 10: 3540354875
ISBN 13: 9783540354871
New
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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. Seller Inventory # 9783540354871
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Feature Extraction: Foundations And Applications
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Feature Extraction
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ISBN 13: 9783540354871
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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 . Seller Inventory # 4888258
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Feature Extraction (Hardcover)
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2006
ISBN 10: 3540354875
ISBN 13: 9783540354871
New
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Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783540354871
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