中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 会议论文
题名:
deriving a stationary dynamic bayesian network from a logic program with recursive loops
作者: Shen YD ; Yang Q
会议文集: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
会议名称: 15th International Conference on Inductive Logic Programming (ILP 2005)
会议日期: AUG 10-13,
出版日期: 2005
会议地点: Bonn, GERMANY
关键词: probabilistic logic programming (PLP) ; the well-founded semantics ; SLG-resolution ; stationary dynamic Bayesian networks
出版者: INDUCTIVE LOGIC PROGRAMMING, PROCEEDINGS
出版地: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
收录类别: sci ; istp ; ei
ISSN: 0302-9743
ISBN: 3-540-28177-0
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.
主办者: Gesell Informat, Bioinformat Initiat Munich, TU Munich, PASCAL European Network Excellence, Machine Learning Journal
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
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/12724
Appears in Collections:软件所图书馆_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
deriving a stationary dynamic bayesian network from a logic program with recursive loops.pdf(299KB)----限制开放-- 联系获取全文

Recommended Citation:
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,.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Shen YD]'s Articles
[Yang Q]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Shen YD]‘s Articles
[Yang Q]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院软件研究所 - Feedback
Powered by CSpace