CHR(PRISM)-based probabilistic logic learning
PRISM is an extension of Prolog with probabilistic predicates and built-in support for expectation-maximization learning. Constraint Handling Rules (CHR) is a high-level programming language based on multi-headed multiset rewrite rules.
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| Veröffentlicht in: | Theory and Practice of Logic Programming 2010-07, Vol.10 (4-6), p.433-447 |
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| container_end_page | 447 |
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| container_issue | 4-6 |
| container_start_page | 433 |
| container_title | Theory and Practice of Logic Programming |
| container_volume | 10 |
| creator | Sneyers, Jon Meert, Wannes Vennekens, Joost Kameya, Yoshitaka Sato, Taisuke |
| description | PRISM is an extension of Prolog with probabilistic predicates and built-in support for expectation-maximization learning. Constraint Handling Rules (CHR) is a high-level programming language based on multi-headed multiset rewrite rules. |
| format | Article |
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| identifier | ISSN: 1471-0684 |
| ispartof | Theory and Practice of Logic Programming, 2010-07, Vol.10 (4-6), p.433-447 |
| issn | 1471-0684 |
| language | eng |
| recordid | cdi_kuleuven_dspace_123456789_287656 |
| source | Lirias (KU Leuven Association); Cambridge University Press Journals Complete |
| title | CHR(PRISM)-based probabilistic logic learning |
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