Towards using the chordal graph polytope in learning decomposable models-Reference-Cited by-同舟云学术

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Towards using the chordal graph polytope in learning decomposable models

Published:2017-09 Issue: Volume:88 Page:259-281
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Studený Milan^ORCID,Cussens James

Funder

GAČR

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference29 articles.

1. Advances in Bayesian network learning using integer programming;Bartlett,2013

2. A Course in Convexity;Barvinok,2002

3. Bayesian Belief Networks: From Construction to Evidence;Bouckaert,1995

4. Optimal structure identification with greedy search;Chickering;J. Mach. Learn. Res.,2002

5. Learning chordal Markov networks by constraint satisfaction;Corander,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Greedy Causal Discovery Is Geometric;SIAM Journal on Discrete Mathematics;2023-02-03

2. The dual polyhedron to the chordal graph polytope and the rebuttal of the chordal graph conjecture;International Journal of Approximate Reasoning;2021-11

3. Learning Chordal Markov Networks via Stochastic Local Search;FRONT ARTIF INTEL AP;2020

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