Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonline

Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together.

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It com

Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesir

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for no