SampleSearch: Importance sampling in presence of determinism-Reference-Cited by-同舟云学术

SampleSearch: Importance sampling in presence of determinism

Published:2011-02 Issue:2 Volume:175 Page:694-729
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Gogate Vibhav,Dechter Rina

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference64 articles.

1. R. Dechter, D. Larkin, Hybrid processing of beliefs and constraints, in: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (UAI), 2001, pp. 112–119.

2. D. Larkin, R. Dechter, Bayesian inference in the presence of determinism, in: Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS), 2003.

3. R. Dechter, R. Mateescu, Mixtures of deterministic–probabilistic networks and their AND/OR search space, in: Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2004, pp. 120–129.

4. Mixed deterministic and probabilistic networks, Annals of Mathematics and Artificial Intelligence (AMAI);Mateescu;Probabilistic Relational Learning,2008

5. Probabilistic Reasoning in Intelligent Systems;Pearl,1988

Cited by 32 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. SymMC: approximate model enumeration and counting using symmetry information for Alloy specifications;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

2. Scaling exact inference for discrete probabilistic programs;Proceedings of the ACM on Programming Languages;2020-11-13

3. Solving the Latin Square Completion Problem by Memetic Graph Coloring;IEEE Transactions on Evolutionary Computation;2019-12

4. Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms, Second Edition;Synthesis Lectures on Artificial Intelligence and Machine Learning;2019-02-14

5. Effusion: prediction of protein function from sequence similarity networks;Bioinformatics;2018-08-01