Contents
1 Introduction
2 Conditional Independence and Factorization
3 The Elimination Algorithm
4 Probability Propagation and Factor Graphs 
5 Statistical Concepts
6 Linear Regression and the LMS algorithm
7 Linear Classification 141
8 The Exponential Family and Generalized Linear Models
9 Completely Observed Graphical Models
10 Mixtures and Conditional Mixtures
11 The EM Algorithm
13 The Multivariate Gaussion
14 Factor Analysis
15 Kalman Filtering and Smoothing
17 The Junction Tree Algorithm
18 The HMM and State Space Model Revisited
19 Features, Maximum Entropy, and Duality
20 Iterative Scaling Algorithms

[此贴子已经被作者于2008-12-30 18:19:00编辑过]

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