Information theory, inference, and learning algorithms -(E-BOOK) David J.C. MacKay.
Publisher: Cambridge, UK ; New York : Cambridge University Press, 2003Description: xii, 628 p. : ill. ; 26 cmISBN: 0521642981Subject(s): Information theory | E-BOOKDDC classification: 003.54 Online resources: Publisher description | Table of contents
Contents:
Introduction to Information Theory (Page-3),Probability, Entropy, and Inference (Page-22),More about Inference (Page-48),Data Compression(Page-65), Noisy-Channel Coding (Page-137), Further Topics in Information Theory (Page-191), Probabilities and Inference (Page-281),Neural networks (Page-467),Sparse Graph Codes (Page-555).
| Item type | Current location | Home library | Collection | Call number | URL | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
Book
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Military College of Signals (MCS) | Military College of Signals (MCS) | NFIC | 003.54 MAC (Browse shelf) | Link to resource | Available | MCSEB-829 |
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Introduction to Information Theory (Page-3),Probability, Entropy, and Inference (Page-22),More about Inference (Page-48),Data Compression(Page-65), Noisy-Channel Coding (Page-137), Further Topics in Information Theory (Page-191), Probabilities and Inference (Page-281),Neural networks (Page-467),Sparse Graph Codes (Page-555).
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