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Kernel Adaptive Filtering: A Comprehensive Introduction
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Kernel Adaptive Filtering: A Comprehensive Introduction

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Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in repr ...more
Hardcover, 209 pages
Published March 1st 2010 by John Wiley & Sons (first published February 18th 2010)
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Nick Black
Sep 17, 2012 Nick Black is currently reading it
Recommended to Nick by: Barry Drake
supposed to be an excellent update of bishop's classic machine learning textbook, with all the phatty new techniques. need to get my LASVM and NNMF on!
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