MacKay, David J. C. <br/><br/>
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. 
<br/><br/>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). 
<br/><br/><label>ISBN: </label>0521642981 
<br/><br/><label>LCCN: </label>2003055133 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Information theory.
<br/><br/><label>Subjects--Geographic Terms: </label><br/>E-BOOK
<br/><br/><label>Dewey Class. No.: </label>003.54