M. Bishop, Christopher <br/><br/>
Pattern recognition and machine learning / 
Christopher M. Bishop 
 - Springer  U.K  2006 
 - xix, 738 p 
<br/><br/>Introduction (Page-1), Probability Distributions (Page-67), Linear Models for Regression (Page-137), Linear Models for Classification (Page-179), Neural Networks (Page-225), Kernal Methods (Page-291), Sparse Keranal Machines (Page-325), Graphical Models (Page-359), Mixture Models and EM (Page-423), Approximate Inference (Page-461), Sampling Mehtods (Page-523), Continuosus Latent Variables (Page-559), Sequential Data (Page-605), Combining Models (Page-653). 
<br/><br/><label>ISBN: </label>0387310738 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Patern Recognition
<br/><br/><label>Subjects--Geographic Terms: </label><br/>Machine Learning
<br/><br/><label>Dewey Class. No.: </label>621.399,BIS