Selecting Models from Data: Artificial Intelligence and Statistics IV
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1994
|
| Schriftenreihe: | Lecture Notes in Statistics
89 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data |
| Beschreibung: | 1 Online-Ressource (X, 487p. 92 illus) |
| ISBN: | 9781461226604 9780387942810 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-2660-4 |
Internformat
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| 245 | 1 | 0 | |a Selecting Models from Data |b Artificial Intelligence and Statistics IV |c edited by P. Cheeseman, R. W. Oldford |
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| 490 | 0 | |a Lecture Notes in Statistics |v 89 |x 0930-0325 | |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Cheeseman, P. |
| author_facet | Cheeseman, P. |
| author_role | aut |
| author_sort | Cheeseman, P. |
| author_variant | p c pc |
| building | Verbundindex |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| 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 | 10.1007/978-1-4612-2660-4 |
| format | Electronic eBook |
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| spelling | Cheeseman, P. Verfasser aut Selecting Models from Data Artificial Intelligence and Statistics IV edited by P. Cheeseman, R. W. Oldford New York, NY Springer New York 1994 1 Online-Ressource (X, 487p. 92 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 89 0930-0325 This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Modellwahl (DE-588)4304786-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content 2\p (DE-588)1071861417 Konferenzschrift 1993 Waterloo, Ontario gnd-content 3\p (DE-588)1071861417 Konferenzschrift 1993 gnd-content Modellwahl (DE-588)4304786-5 s 4\p DE-604 Oldford, R. W. Sonstige oth https://doi.org/10.1007/978-1-4612-2660-4 Verlag 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cheeseman, P. Selecting Models from Data Artificial Intelligence and Statistics IV Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Modellwahl (DE-588)4304786-5 gnd |
| subject_GND | (DE-588)4304786-5 (DE-588)4143413-4 (DE-588)1071861417 |
| title | Selecting Models from Data Artificial Intelligence and Statistics IV |
| title_auth | Selecting Models from Data Artificial Intelligence and Statistics IV |
| title_exact_search | Selecting Models from Data Artificial Intelligence and Statistics IV |
| title_full | Selecting Models from Data Artificial Intelligence and Statistics IV edited by P. Cheeseman, R. W. Oldford |
| title_fullStr | Selecting Models from Data Artificial Intelligence and Statistics IV edited by P. Cheeseman, R. W. Oldford |
| title_full_unstemmed | Selecting Models from Data Artificial Intelligence and Statistics IV edited by P. Cheeseman, R. W. Oldford |
| title_short | Selecting Models from Data |
| title_sort | selecting models from data artificial intelligence and statistics iv |
| title_sub | Artificial Intelligence and Statistics IV |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Modellwahl (DE-588)4304786-5 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Modellwahl Aufsatzsammlung Konferenzschrift 1993 Waterloo, Ontario Konferenzschrift 1993 |
| url | https://doi.org/10.1007/978-1-4612-2660-4 |
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