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http://dx.doi.org/10.1201/9780203491294
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Front MatterAbstract - Hi-Res PDF (625 KB) - PDF w/links (626 KB)
Chapter 1. Bayesian ReasoningAbstract - Hi-Res PDF (672 KB) - PDF w/links (663 KB)
Chapter 2. Introducing Bayesian NetworksAbstract - Hi-Res PDF (656 KB) - PDF w/links (648 KB)
Chapter 3. Inference in Bayesian NetworksAbstract - Hi-Res PDF (805 KB) - PDF w/links (806 KB)
Chapter 4. Decision NetworksAbstract - Hi-Res PDF (679 KB) - PDF w/links (675 KB)
Chapter 5. Applications of Bayesian NetworksAbstract - Hi-Res PDF (737 KB) - PDF w/links (722 KB)
Chapter 6. Learning Linear Causal ModelsAbstract - Hi-Res PDF (698 KB) - PDF w/links (686 KB)
Chapter 7. Learning ProbabilitiesAbstract - Hi-Res PDF (367 KB) - PDF w/links (345 KB)
Chapter 8. Learning Discrete Causal StructureAbstract - Hi-Res PDF (660 KB) - PDF w/links (661 KB)
Chapter 9. Knowledge Engineering with Bayesian NetworksAbstract - Hi-Res PDF (920 KB) - PDF w/links (876 KB)
Chapter 10. EvaluationAbstract - Hi-Res PDF (698 KB) - PDF w/links (686 KB)
Chapter 11. KEBN Case StudiesAbstract - Hi-Res PDF (776 KB) - PDF w/links (743 KB)
Chapter. AppendicesAbstract - Hi-Res PDF (631 KB) - PDF w/links (632 KB)
Chapter. ReferencesAbstract - Hi-Res PDF (558 KB) - PDF w/links (558 KB)
