Information Theoretic Learning
Renyi's Entropy and Kernel Perspectives| By: | Jose C. Principe |
| Publisher: | Springer Nature |
| Print ISBN: | 9781441915696 |
| eText ISBN: | 9781441915702 |
| Edition: | 0 |
| Copyright: | 2010 |
| Format: | Reflowable |
Lifetime - $198.75
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Details
Table of Contents
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.