Can I read Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing (207)) on EtoBox?

Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing (207)) by Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti A. Zadeh is a nonfiction available to read on EtoBox.

What is Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing (207)) about?

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

Who reads Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing (207))?

Author

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

Publisher

Springer Berlin Heidelberg

Published

2006

Language

EN

ISBN

9783540354888

Category

nonfiction

Subjects

Mathematics, Engineering, Technology