Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign

This book on bioinformatics is designed as an introduction to the conventional details of genomics and proteomics as well as a practical comprehension text with

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