Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural netw

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for rese

A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design

This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the Univ

This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It is