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Book Categories |
| Pt. I | Probabilistic Reasoning | 1 |
| Ch. 1 | Bayesian Reasoning | 3 |
| Ch. 2 | Introducing Bayesian Networks | 29 |
| Ch. 3 | Inference in Bayesian Networks | 53 |
| Ch. 4 | Decision Networks | 89 |
| Ch. 5 | Applications of Bayesian Networks | 117 |
| Pt. II | Learning Causal Models | 147 |
| Ch. 6 | Learning Linear Causal Models | 151 |
| Ch. 7 | Learning Probabilities | 175 |
| Ch. 8 | Learning Discrete Causal Structure | 197 |
| Pt. III | Knowledge Engineering | 221 |
| Ch. 9 | Knowledge Engineering with Bayesian Networks | 225 |
| Ch. 10 | Evaluation | 263 |
| Ch. 11 | KEBN Case Studies | 287 |
| App. A: Notation | 315 | |
| App. B: Software Packages | 317 | |
| References | 333 | |
| Index | 355 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Barry Melnyk
reviewed Bayesian Artificial Intelligence on January 06, 2010
Bayesian Artificial Intelligence
The first four or so chapters are good, and I'm sure the rest would be fine if I were currently programming any sort of Bayesian network, but since I'm not, they were a little tedious.
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