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Feature Extraction - Foundations and Applications (Paperback, Softcover reprint of the original 1st ed. 2006): Isabelle Guyon,... Feature Extraction - Foundations and Applications (Paperback, Softcover reprint of the original 1st ed. 2006)
Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti A. Zadeh
R8,807 Discovery Miles 88 070 Ships in 10 - 15 working days

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.

Feature Extraction - Foundations and Applications (Hardcover): Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti A. Zadeh Feature Extraction - Foundations and Applications (Hardcover)
Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti A. Zadeh
R8,752 Discovery Miles 87 520 Ships in 10 - 15 working days

This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Its CD-ROM includes the data of the NIPS 2003 Feature Selection Challenge and sample Matlab code. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.

Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj,... Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers (Paperback, 2006 ed.)
Craig Saunders, Marko Grobelnik, Steve Gunn, John Shawe-Taylor
R1,611 Discovery Miles 16 110 Ships in 10 - 15 working days

This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.

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