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Information Theoretic Learning

Renyi's Entropy and Kernel Perspectives

Language EnglishEnglish
Book Paperback
Book Information Theoretic Learning Jose C. Principe
Libristo code: 05257918
Publishers Springer-Verlag New York Inc., May 2012
This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning ma... Full description
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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.

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About the book

Full name Information Theoretic Learning
Author Jose C. Principe
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 448
EAN 9781461425854
ISBN 1461425859
Libristo code 05257918
Publishers Springer-Verlag New York Inc.
Weight 778
Dimensions 158 x 234 x 30

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Technology, Engineering, Agriculture > Other technologies & applied sciences > Applied optics > Imaging systems & technology
Mathematics & Science > Mathematics > Probability & statistics
Earth Sciences, Geography, Environment, Planning > Geography > Geographical information systems & remote sensing
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Artificial intelligence
Computing & Information Technology > Computer science > Signal processing
Mathematics & Science > Science: general issues
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