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| deriving a stationary dynamic bayesian network from a logic program with recursive loops | |
| Shen YD; Yang Q | |
| 2005 | |
| Conference Name | 15th International Conference on Inductive Logic Programming (ILP 2005) |
| Source | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Pages | 330-347 |
| Conference Date | AUG 10-13, |
| Conference Place | Bonn, GERMANY |
| Indexed Type | sci ; istp ; ei |
| Publish Place | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| Publisher | INDUCTIVE LOGIC PROGRAMMING, PROCEEDINGS |
| ISSN | 0302-9743 |
| ISBN | 3-540-28177-0 |
| Department | Chinese Acad Sci, Inst Software, Comp Sci Lab, Beijing 100080, Peoples R China. Hong Kong Univ Sci & Technol, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China. |
| English Abstract | Recursive loops in a logic program present a challenging problem to the PLP framework. On the one hand, they loop forever so that the PLP backward-chaining inferences would never stop. On the other hand, they generate cyclic influences, which |
| Keyword | Probabilistic Logic Programming (Plp) The Well-founded Semantics Slg-resolution Stationary Dynamic Bayesian Networks |
| Sponsorship | Gesell Informat, Bioinformat Initiat Munich, TU Munich, PASCAL European Network Excellence, Machine Learning Journal |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/12724 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Shen YD,Yang Q. deriving a stationary dynamic bayesian network from a logic program with recursive loops[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:INDUCTIVE LOGIC PROGRAMMING, PROCEEDINGS,2005:330-347. |
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| deriving a stationar（299KB） | 开放获取 | -- | Application Full Text | |||
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