Can I read Advances in Independent Component Analysis (Perspectives in Neural Computing) on EtoBox?

Advances in Independent Component Analysis (Perspectives in Neural Computing) by William D. Penny, Richard M. Everson, Stephen J. Roberts (auth.), Mark Girolami BSc (Hons), BA, MSc, PhD, CEng, MIEE, MIMechE (eds.) is a nonfiction available to read on EtoBox.

What is Advances in Independent Component Analysis (Perspectives in Neural Computing) about?

Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the latest approaches to ICA problems, including an investigation into certain "hard problems" for the very first time. Comprising contributions from the most respected and innovative researchers in the field, this volume will be of interest to students and researchers in computer science and electrical engineering; research and development personnel in disciplines such as statistical modelling and data analysis; bio-informatic workers; and physicists and chemists requiring novel data analysis methods.

Who reads Advances in Independent Component Analysis (Perspectives in Neural Computing)?

Author

William D. Penny, Richard M. Everson, Stephen J. Roberts (auth.), Mark Girolami BSc (Hons), BA, MSc, PhD, CEng, MIEE, MIMechE (eds.)

Publisher

Springer-Verlag London

Published

2000

Language

EN

ISBN

9781852332631

Category

nonfiction

Subjects

Science, Computer Science, Engineering