Approximation methods for efficient learning of Bayesian networks
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| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
Amsterdam ; Washington, DC :
IOS Press,
c2008.
|
| Series: | Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence.
Frontiers in artificial intelligence and applications ; v. 168. |
| Subjects: | |
| Online Access: | An electronic book accessible through the World Wide Web; click to view |
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| 040 | |a CaPaEBR |c CaPaEBR | ||
| 050 | 1 | 4 | |a QA279.5 |b .R54 2008eb |
| 100 | 1 | |a Riggelsen, Carsten. | |
| 245 | 1 | 0 | |a Approximation methods for efficient learning of Bayesian networks |h [electronic resource] / |c Carsten Riggelsen. |
| 260 | |a Amsterdam ; |a Washington, DC : |b IOS Press, |c c2008. | ||
| 300 | |a vii, 137 p. : |b ill. | ||
| 490 | 1 | |a Frontiers in artificial intelligence and applications ; |v v. 168 | |
| 490 | 1 | |a Dissertations in artificial intelligence | |
| 502 | |a Thesis (Ph.D.)--Utrecht University, 2006. | ||
| 504 | |a Includes bibliographical references (p. [133]-137). | ||
| 533 | |a Electronic reproduction. |b Palo Alto, Calif. : |c ebrary, |d 2009. |n Available via World Wide Web. |n Access may be limited to ebrary affiliated libraries. | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 655 | 7 | |a Electronic books. |2 local | |
| 710 | 2 | |a ebrary, Inc. | |
| 830 | 0 | |a Frontiers in artificial intelligence and applications. |p Dissertations in artificial intelligence. | |
| 830 | 0 | |a Frontiers in artificial intelligence and applications ; |v v. 168. | |
| 856 | 4 | 0 | |u http://site.ebrary.com/lib/daystar/Doc?id=10216841 |z An electronic book accessible through the World Wide Web; click to view |
| 908 | |a 170314 | ||
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