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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : 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. N° de réf. du vendeur SKU-U97GA09605109
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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 4888258
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