Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207)

Guyon, Isabelle, Gunn, Steve, Nikravesh, Masoud, Zadeh, Lofti A.

ISBN 10: 3540354875 / ISBN 13: 9783540354871

Editore: Springer, 2018

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802 pp., hardcover, new, this is the 2018 printing. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Codice articolo ZB1316510

Dati bibliografici

• Titolo: Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing, 207)
• Editore: Springer
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 3540354875
• ISBN 13: 9783540354871
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.