Graphical Models Representations for Learning,Reasoning and Data Mining

1 Introduction 1
2 Imprecision and Uncertainty 15
3 Decomposition 53
4 Graphical Representation 93
5 Computing Projections 139
6 Naive Classifiers 157
7 Learning Global Structure 167
8 Learning Local Structure
9 Inductive Causation 273
10 Visualization 287
11 Applications 295
B Software Tools 353
Bibliography 359
Index 383