Advances in Bayesian Networks:
In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as Artificial Intelligence and Statistics. This carefully edited monograph is a compendium of the most recent advances in the area...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
146 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as Artificial Intelligence and Statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, "Advances in Bayesian Networks" presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval |
| Beschreibung: | 1 Online-Ressource (XI, 328 p) |
| ISBN: | 9783540398790 |
| DOI: | 10.1007/978-3-540-39879-0 |
Internformat
MARC
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| 650 | 4 | |a Mathematics | |
| 650 | 4 | |a Probability Theory and Stochastic Processes | |
| 650 | 4 | |a Appl.Mathematics/Computational Methods of Engineering | |
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Datensatz im Suchindex
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| author2 | Gámez, José A. Moral, Serafín Salmerón, Antonio |
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| dewey-full | 519.2 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-540-39879-0 |
| format | Electronic eBook |
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| isbn | 9783540398790 |
| language | English |
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| physical | 1 Online-Ressource (XI, 328 p) |
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| spelling | Advances in Bayesian Networks edited by José A. Gámez, Serafín Moral, Antonio Salmerón Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XI, 328 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 146 In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as Artificial Intelligence and Statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, "Advances in Bayesian Networks" presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval Mathematics Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Pattern Recognition Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Probabilities Statistics Applied mathematics Engineering mathematics Bayes-Netz (DE-588)4567228-3 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Bayes-Netz (DE-588)4567228-3 s 2\p DE-604 Gámez, José A. edt Moral, Serafín edt Salmerón, Antonio edt Erscheint auch als Druck-Ausgabe 9783642058851 https://doi.org/10.1007/978-3-540-39879-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Advances in Bayesian Networks Mathematics Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Pattern Recognition Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Probabilities Statistics Applied mathematics Engineering mathematics Bayes-Netz (DE-588)4567228-3 gnd |
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| title | Advances in Bayesian Networks |
| title_auth | Advances in Bayesian Networks |
| title_exact_search | Advances in Bayesian Networks |
| title_full | Advances in Bayesian Networks edited by José A. Gámez, Serafín Moral, Antonio Salmerón |
| title_fullStr | Advances in Bayesian Networks edited by José A. Gámez, Serafín Moral, Antonio Salmerón |
| title_full_unstemmed | Advances in Bayesian Networks edited by José A. Gámez, Serafín Moral, Antonio Salmerón |
| title_short | Advances in Bayesian Networks |
| title_sort | advances in bayesian networks |
| topic | Mathematics Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Pattern Recognition Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Probabilities Statistics Applied mathematics Engineering mathematics Bayes-Netz (DE-588)4567228-3 gnd |
| topic_facet | Mathematics Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Pattern Recognition Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Probabilities Statistics Applied mathematics Engineering mathematics Bayes-Netz Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-540-39879-0 |
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