Learning Bayesian networks from data: An information-theory based approach-Reference-Cited by-同舟云学术

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Learning Bayesian networks from data: An information-theory based approach

Published:2002-05 Issue:1-2 Volume:137 Page:43-90
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Cheng Jie,Greiner Russell,Kelly Jonathan,Bell David,Liu Weiru

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference58 articles.

1. An algorithm for finding minimum d-separating sets in belief networks;Acid,1996

2. BENEDICT: An algorithm for learning probabilistic belief networks;Acid,1996

3. Categorical Data Analysis;Agresti,1990

4. Model search in contingency tables in CoCo;Badsberg,1992

5. The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks;Beinlich,1989

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