Information theory, inference, and learning algorithms -(E-BOOK)
David J.C. MacKay.
- Cambridge, UK ; New York : Cambridge University Press, 2003.
- xii, 628 p. : ill. ; 26 cm.
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).