00827nam a22001457a 4500003000500000020001500005082001600020100002700036245007000063260002400133300001500157505046500172650002300637651002100660NUST  a0387310738  a621.399,BIS  aM. Bishop, Christopher  aPattern recognition and machine learning /cChristopher M. Bishop  aSpringerbU.Kc2006  axix, 738 p  aIntroduction (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).  aPatern Recognition  aMachine Learning