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Perspectives in Neural Computing

Advances in Independent Component Analysis

Editors: Girolami, Mark (Ed.)

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eBook $149.00
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  • ISBN 978-1-4471-0443-8
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Softcover $199.99
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  • ISBN 978-1-85233-263-1
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About this book

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.

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-4471-0443-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $199.99
price for USA in USD
  • ISBN 978-1-85233-263-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Independent Component Analysis
Editors
  • Mark Girolami
Series Title
Perspectives in Neural Computing
Copyright
2000
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-0443-8
DOI
10.1007/978-1-4471-0443-8
Softcover ISBN
978-1-85233-263-1
Series ISSN
1431-6854
Edition Number
1
Number of Pages
XX, 284
Number of Illustrations
19 b/w illustrations
Topics