Modeling and reasoning with Bayesian networks /:
Introduces the formal foundations and practical applications of Bayesian networks.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, UK ; New York :
Cambridge University Press,
2009.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Introduces the formal foundations and practical applications of Bayesian networks. |
| Beschreibung: | 1 online resource (xii, 548 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 527-539) and index. |
| ISBN: | 0511507283 9780511507281 0511811357 9780511811357 0511505140 9780511505140 1139129635 9781139129633 9781107678422 1107678420 |
Internformat
MARC
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| 100 | 1 | |a Darwiche, Adnan, |d 1966- |e author. |0 http://id.loc.gov/authorities/names/n2008070614 | |
| 245 | 1 | 0 | |a Modeling and reasoning with Bayesian networks / |c Adnan Darwiche, University of California, Los Angeles. |
| 264 | 1 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2009. | |
| 264 | 4 | |c ©2009 | |
| 300 | |a 1 online resource (xii, 548 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 527-539) and index. | ||
| 505 | 0 | |a Introduction -- Propositional logic -- Probability calculus -- Bayesian networks -- Building Bayesian networks -- Inference by variable elimination -- Inference by factor elimination -- Inference by conditioning -- Models for graph decomposition -- Most likely instantiations -- The complexity of probabilistic inference -- Compiling Bayesian networks -- Inference with local structure -- Approximate inference by belief propagation -- Approximate inference by stochastic sampling -- Sensitivity analysis -- Learning : the maximum likelihood approach -- Learning : the Bayesian approach. | |
| 520 | |a Introduces the formal foundations and practical applications of Bayesian networks. | ||
| 588 | |a Description based on print version record; title from digital title page (viewed January 24, 2023). | ||
| 650 | 0 | |a Bayesian statistical decision theory |x Graphic methods. | |
| 650 | 0 | |a Inference. |0 http://id.loc.gov/authorities/subjects/sh85066082 | |
| 650 | 0 | |a Probabilities. |0 http://id.loc.gov/authorities/subjects/sh85107090 | |
| 650 | 0 | |a Modeling. |0 http://id.loc.gov/authorities/subjects/sh85086422 | |
| 650 | 2 | |a Probability |0 https://id.nlm.nih.gov/mesh/D011336 | |
| 650 | 6 | |a Théorie de la décision bayésienne |x Méthodes graphiques. | |
| 650 | 6 | |a Inférence (Logique) | |
| 650 | 6 | |a Probabilités. | |
| 650 | 7 | |a probability. |2 aat | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Bayesian Analysis. |2 bisacsh | |
| 650 | 7 | |a Modèles mathématiques. |2 eclas | |
| 650 | 7 | |a Méthodes statistiques. |2 eclas | |
| 650 | 7 | |a Probabilités. |2 eclas | |
| 650 | 7 | |a Sciences. |2 eclas | |
| 650 | 7 | |a Inference |2 fast | |
| 650 | 7 | |a Modeling |2 fast | |
| 650 | 7 | |a Probabilities |2 fast | |
| 650 | 7 | |a Bayes-Netz |2 gnd | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn476264610 |
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| _version_ | 1816881701659344896 |
| adam_text | |
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| author | Darwiche, Adnan, 1966- |
| author_GND | http://id.loc.gov/authorities/names/n2008070614 |
| author_facet | Darwiche, Adnan, 1966- |
| author_role | aut |
| author_sort | Darwiche, Adnan, 1966- |
| author_variant | a d ad |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA279 |
| callnumber-raw | QA279.5 .D37 2009 |
| callnumber-search | QA279.5 .D37 2009 |
| callnumber-sort | QA 3279.5 D37 42009 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | ST 300 |
| classification_tum | MAT 622f MAT 624f |
| collection | ZDB-4-EBA |
| contents | Introduction -- Propositional logic -- Probability calculus -- Bayesian networks -- Building Bayesian networks -- Inference by variable elimination -- Inference by factor elimination -- Inference by conditioning -- Models for graph decomposition -- Most likely instantiations -- The complexity of probabilistic inference -- Compiling Bayesian networks -- Inference with local structure -- Approximate inference by belief propagation -- Approximate inference by stochastic sampling -- Sensitivity analysis -- Learning : the maximum likelihood approach -- Learning : the Bayesian approach. |
| ctrlnum | (OCoLC)476264610 |
| dewey-full | 519.542 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.542 |
| dewey-search | 519.542 |
| dewey-sort | 3519.542 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| format | Electronic eBook |
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| genre | Electronic book. Electronic books. |
| genre_facet | Electronic book. Electronic books. |
| id | ZDB-4-EBA-ocn476264610 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:54Z |
| institution | BVB |
| isbn | 0511507283 9780511507281 0511811357 9780511811357 0511505140 9780511505140 1139129635 9781139129633 9781107678422 1107678420 |
| language | English |
| oclc_num | 476264610 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 548 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Darwiche, Adnan, 1966- author. http://id.loc.gov/authorities/names/n2008070614 Modeling and reasoning with Bayesian networks / Adnan Darwiche, University of California, Los Angeles. Cambridge, UK ; New York : Cambridge University Press, 2009. ©2009 1 online resource (xii, 548 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 527-539) and index. Introduction -- Propositional logic -- Probability calculus -- Bayesian networks -- Building Bayesian networks -- Inference by variable elimination -- Inference by factor elimination -- Inference by conditioning -- Models for graph decomposition -- Most likely instantiations -- The complexity of probabilistic inference -- Compiling Bayesian networks -- Inference with local structure -- Approximate inference by belief propagation -- Approximate inference by stochastic sampling -- Sensitivity analysis -- Learning : the maximum likelihood approach -- Learning : the Bayesian approach. Introduces the formal foundations and practical applications of Bayesian networks. Description based on print version record; title from digital title page (viewed January 24, 2023). Bayesian statistical decision theory Graphic methods. Inference. http://id.loc.gov/authorities/subjects/sh85066082 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Modeling. http://id.loc.gov/authorities/subjects/sh85086422 Probability https://id.nlm.nih.gov/mesh/D011336 Théorie de la décision bayésienne Méthodes graphiques. Inférence (Logique) Probabilités. probability. aat MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Modèles mathématiques. eclas Méthodes statistiques. eclas Probabilités. eclas Sciences. eclas Inference fast Modeling fast Probabilities fast Bayes-Netz gnd Electronic book. Electronic books. has work: Modeling and reasoning with Bayesian networks (Text) https://id.oclc.org/worldcat/entity/E39PCGyRT4mCXDfQbMjFcmqjVK https://id.oclc.org/worldcat/ontology/hasWork Print version: Darwiche, Adnan, 1966- Modeling and reasoning with Bayesian networks. Cambridge ; New York : Cambridge University Press, 2009 9780521884389 (DLC) 2008044605 (OCoLC)263146943 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=400758 Volltext |
| spellingShingle | Darwiche, Adnan, 1966- Modeling and reasoning with Bayesian networks / Introduction -- Propositional logic -- Probability calculus -- Bayesian networks -- Building Bayesian networks -- Inference by variable elimination -- Inference by factor elimination -- Inference by conditioning -- Models for graph decomposition -- Most likely instantiations -- The complexity of probabilistic inference -- Compiling Bayesian networks -- Inference with local structure -- Approximate inference by belief propagation -- Approximate inference by stochastic sampling -- Sensitivity analysis -- Learning : the maximum likelihood approach -- Learning : the Bayesian approach. Bayesian statistical decision theory Graphic methods. Inference. http://id.loc.gov/authorities/subjects/sh85066082 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Modeling. http://id.loc.gov/authorities/subjects/sh85086422 Probability https://id.nlm.nih.gov/mesh/D011336 Théorie de la décision bayésienne Méthodes graphiques. Inférence (Logique) Probabilités. probability. aat MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Modèles mathématiques. eclas Méthodes statistiques. eclas Probabilités. eclas Sciences. eclas Inference fast Modeling fast Probabilities fast Bayes-Netz gnd |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85066082 http://id.loc.gov/authorities/subjects/sh85107090 http://id.loc.gov/authorities/subjects/sh85086422 https://id.nlm.nih.gov/mesh/D011336 |
| title | Modeling and reasoning with Bayesian networks / |
| title_auth | Modeling and reasoning with Bayesian networks / |
| title_exact_search | Modeling and reasoning with Bayesian networks / |
| title_full | Modeling and reasoning with Bayesian networks / Adnan Darwiche, University of California, Los Angeles. |
| title_fullStr | Modeling and reasoning with Bayesian networks / Adnan Darwiche, University of California, Los Angeles. |
| title_full_unstemmed | Modeling and reasoning with Bayesian networks / Adnan Darwiche, University of California, Los Angeles. |
| title_short | Modeling and reasoning with Bayesian networks / |
| title_sort | modeling and reasoning with bayesian networks |
| topic | Bayesian statistical decision theory Graphic methods. Inference. http://id.loc.gov/authorities/subjects/sh85066082 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Modeling. http://id.loc.gov/authorities/subjects/sh85086422 Probability https://id.nlm.nih.gov/mesh/D011336 Théorie de la décision bayésienne Méthodes graphiques. Inférence (Logique) Probabilités. probability. aat MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Modèles mathématiques. eclas Méthodes statistiques. eclas Probabilités. eclas Sciences. eclas Inference fast Modeling fast Probabilities fast Bayes-Netz gnd |
| topic_facet | Bayesian statistical decision theory Graphic methods. Inference. Probabilities. Modeling. Probability Théorie de la décision bayésienne Méthodes graphiques. Inférence (Logique) Probabilités. probability. MATHEMATICS Probability & Statistics Bayesian Analysis. Modèles mathématiques. Méthodes statistiques. Sciences. Inference Modeling Probabilities Bayes-Netz Electronic book. Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=400758 |
| work_keys_str_mv | AT darwicheadnan modelingandreasoningwithbayesiannetworks |