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. Ed(S): Emmert-Streib, Frank; Dehmer, Matthias - Information Theory and Statistical Learning - 9780387848150 - V9780387848150
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Information Theory and Statistical Learning

€ 129.87
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Description for Information Theory and Statistical Learning Hardback. This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts. Editor(s): Emmert-Streib, Frank; Dehmer, Matthias. Num Pages: 439 pages, biography. BIC Classification: GPF; PBT; UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 25. Weight in Grams: 807.

"Information Theory and Statistical Learning" presents theoretical and practical results about information theoretic methods used in the context of statistical learning.

The book will present a comprehensive overview of the large range of different methods that have been developed in a multitude of contexts. Each chapter is written by an expert in the field. The book is intended for an interdisciplinary readership working in machine learning, applied statistics, artificial intelligence, biostatistics, computational biology, bioinformatics, web mining or related disciplines.

Advance Praise for "Information Theory and Statistical Learning":

"A new epoch has arrived for information sciences to integrate various disciplines ... Read more

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Product Details

Format
Hardback
Publication date
2008
Publisher
Springer-Verlag New York Inc. United States
Number of pages
439
Condition
New
Number of Pages
439
Place of Publication
New York, NY, United States
ISBN
9780387848150
SKU
V9780387848150
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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