Inference in credal networks: branch-and-bound methods and the A/R plus algorithm

被引:7
|
作者
da Rocha, JCF
Coman, FG
机构
[1] Univ Sao Paulo, Escola Politecn, BR-05508900 Sao Paulo, Brazil
[2] Univ Estadual Ponta Grossa, Dept Informat, BR-84010919 Ponta Grossa, PR, Brazil
关键词
D O I
10.1016/j.ijar.2004.10.009
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A credal network is a graphical representation for a set of joint probability distributions. In this paper we discuss algorithms for exact and approximate inferences in credal networks. We propose a branch-and-bound framework for inference, and focus on inferences for polytree-shaped networks. We also propose a new algorithm, A/R+, for outer approximations in polytree-shaped credal networks. (c) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:279 / 296
页数:18
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