Information Theoretic Learning
Download or Read eBook Information Theoretic Learning PDF written by Jose C. Principe and published by Springer Science & Business Media. This book was released on 2010-04-06 with total page 538 pages. Available in PDF, EPUB and Kindle.
Author | : Jose C. Principe |
Publisher | : Springer Science & Business Media |
Total Pages | : 538 |
Release | : 2010-04-06 |
ISBN-10 | : 9781441915702 |
ISBN-13 | : 1441915702 |
Rating | : 4/5 (02 Downloads) |
Book Synopsis Information Theoretic Learning by : Jose C. Principe
Book excerpt: 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.