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Modeling and Reasoning with Bayesian Networks
Buch von Adnan Darwiche
Sprache: Englisch

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Beschreibung
This book introduces the formal foundations and practical applications of Bayesian networks.
This book introduces the formal foundations and practical applications of Bayesian networks.
Über den Autor
Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.
Inhaltsverzeichnis
1. Introduction; 2. Propositional logic; 3. Probability calculus; 4. Bayesian networks; 5. Building Bayesian networks; 6. Inference by variable elimination; 7. Inference by factor elimination; 8. Inference by conditioning; 9. Models for graph decomposition; 10. Most likely instantiations; 11. The complexity of probabilistic inference; 12. Compiling Bayesian networks; 13. Inference with local structure; 14. Approximate inference by belief propagation; 15. Approximate inference by stochastic sampling; 16. Sensitivity analysis; 17. Learning: the maximum likelihood approach; 18. Learning: the Bayesian approach; Appendix A: notation; Appendix B: concepts from information theory; Appendix C: fixed point iterative methods; Appendix D: constrained optimization.
Details
Erscheinungsjahr: 2010
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9780521884389
ISBN-10: 0521884381
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Darwiche, Adnan
Hersteller: Cambridge University Press
Maße: 260 x 183 x 35 mm
Von/Mit: Adnan Darwiche
Erscheinungsdatum: 04.10.2010
Gewicht: 1,239 kg
Artikel-ID: 101685098
Über den Autor
Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.
Inhaltsverzeichnis
1. Introduction; 2. Propositional logic; 3. Probability calculus; 4. Bayesian networks; 5. Building Bayesian networks; 6. Inference by variable elimination; 7. Inference by factor elimination; 8. Inference by conditioning; 9. Models for graph decomposition; 10. Most likely instantiations; 11. The complexity of probabilistic inference; 12. Compiling Bayesian networks; 13. Inference with local structure; 14. Approximate inference by belief propagation; 15. Approximate inference by stochastic sampling; 16. Sensitivity analysis; 17. Learning: the maximum likelihood approach; 18. Learning: the Bayesian approach; Appendix A: notation; Appendix B: concepts from information theory; Appendix C: fixed point iterative methods; Appendix D: constrained optimization.
Details
Erscheinungsjahr: 2010
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9780521884389
ISBN-10: 0521884381
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Darwiche, Adnan
Hersteller: Cambridge University Press
Maße: 260 x 183 x 35 mm
Von/Mit: Adnan Darwiche
Erscheinungsdatum: 04.10.2010
Gewicht: 1,239 kg
Artikel-ID: 101685098
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