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Feature Extraction

Isabelle Guyon

1 ratings by Goodreads
ISBN 10: 3540354875 / ISBN 13: 9783540354871
Published by Springer-Verlag Gmbh Jul 2006, 2006
New Condition: Neu Soft cover
From Agrios-Buch (Bergisch Gladbach, Germany)

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Neuware - 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. 778 pp. Englisch. Bookseller Inventory # 9783540354871

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Bibliographic Details

Title: Feature Extraction

Publisher: Springer-Verlag Gmbh Jul 2006

Publication Date: 2006

Binding: Taschenbuch

Book Condition:Neu

About this title

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.

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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