| deriving a stationary dynamic bayesian network from a logic program with recursive loops |
| Shen YD; Yang Q
|
| 2005
|
| 会议名称 | 15th International Conference on Inductive Logic Programming (ILP 2005)
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| 会议录名称 | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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| 页码 | 330-347
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| 会议日期 | AUG 10-13,
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| 会议地点 | Bonn, GERMANY
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| 收录类别 | sci
; istp
; ei
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| 出版地 | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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| 出版者 | INDUCTIVE LOGIC PROGRAMMING, PROCEEDINGS
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| ISSN | 0302-9743
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| ISBN | 3-540-28177-0
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| 部门归属 | 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.
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| 摘要 | 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 |
| 关键词 | Probabilistic Logic Programming (Plp)
The Well-founded Semantics
Slg-resolution
Stationary Dynamic Bayesian Networks
|
| 主办者 | Gesell Informat, Bioinformat Initiat Munich, TU Munich, PASCAL European Network Excellence, Machine Learning Journal
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| 语种 | 英语
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| 内容类型 | 会议论文
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| URI标识 | http://ir.iscas.ac.cn/handle/311060/12724
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| 专题 | 中国科学院软件研究所
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推荐引用方式
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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