M. Bishop, Christopher creator text Springer U.K 2006 monographic xix, 738 p 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). Christopher M. Bishop Patern Recognition Machine Learning 621.399,BIS 0387310738