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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 |
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 |
Warnhinweis