Learning in Graphical Models

Table of Contents

1. Altmetric Badge
   Book Overview
2. Altmetric Badge
   Chapter 1 Introduction to Inference for Bayesian Networks
3. Altmetric Badge
   Chapter 2 Advanced Inference in Bayesian Networks
4. Altmetric Badge
   Chapter 3 Inference in Bayesian Networks Using Nested Junction Trees
5. Altmetric Badge
   Chapter 4 Bucket Elimination: A Unifying Framework for Probabilistic Inference
6. Altmetric Badge
   Chapter 5 An Introduction to Variational Methods for Graphical Models
7. Altmetric Badge
   Chapter 6 Improving the Mean Field Approximation Via the Use of Mixture Distributions
8. Altmetric Badge
   Chapter 7 Introduction to Monte Carlo Methods
9. Altmetric Badge
   Chapter 8 Suppressing Random Walks in Markov Chain Monte Carlo Using Ordered Overrelaxation
10. Altmetric Badge
    Chapter 9 Chain Graphs and Symmetric Associations
11. Altmetric Badge
    Chapter 10 The Multiinformation Function as a Tool for Measuring Stochastic Dependence
12. Altmetric Badge
    Chapter 11 A Tutorial on Learning with Bayesian Networks
13. Altmetric Badge
    Chapter 12 A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
14. Altmetric Badge
    Chapter 13 Latent Variable Models
15. Altmetric Badge
    Chapter 14 Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization
16. Altmetric Badge
    Chapter 15 Learning Bayesian Networks with Local Structure
17. Altmetric Badge
    Chapter 16 Asymptotic Model Selection for Directed Networks with Hidden Variables
18. Altmetric Badge
    Chapter 17 A Hierarchical Community of Experts
19. Altmetric Badge
    Chapter 18 An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering
20. Altmetric Badge
    Chapter 19 Learning Hybrid Bayesian Networks from Data
21. Altmetric Badge
    Chapter 20 A Mean Field Learning Algorithm for Unsupervised Neural Networks
22. Altmetric Badge
    Chapter 21 Edge Exclusion Tests for Graphical Gaussian Models
23. Altmetric Badge
    Chapter 22 Hepatitis B: A Case Study in MCMC
24. Altmetric Badge
    Chapter 23 Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond