deriving a stationary dynamic bayesian network from a logic program with recursive loops
文献类型：会议论文
| 作者 | Shen YD ; Yang Q |
| 出版日期 | 2005 |
| 会议名称 | 15th International Conference on Inductive Logic Programming (ILP 2005) |
| 会议日期 | AUG 10-13, |
| 会议地点 | Bonn, GERMANY |
| 关键词 | probabilistic logic programming (PLP) the well-founded semantics SLG-resolution stationary dynamic Bayesian networks |
| 页码 | 330-347 |
| 英文摘要 | 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 |
| 收录类别 | SCI ; ISTP ; EI |
| 会议主办者 | Gesell Informat, Bioinformat Initiat Munich, TU Munich, PASCAL European Network Excellence, Machine Learning Journal |
| 会议录 | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
 |
| 会议录出版者 | INDUCTIVE LOGIC PROGRAMMING, PROCEEDINGS |
| 会议录出版地 | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 3-540-28177-0 |
| 源URL | [http://124.16.136.157/handle/311060/12724]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:15th International Conference on Inductive Logic Programming (ILP 2005). Bonn, GERMANY. AUG 10-13,. |
入库方式： OAI收割
来源：软件研究所
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