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Approximate Inference Algorithms for Hybrid Bayesian Networks with
  Discrete Constraints

Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints

4 July 2012
Vibhav Gogate
R. Dechter
    TPM
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Papers citing "Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints"

4 / 4 papers shown
Title
Partition Function Estimation: A Quantitative Study
Partition Function Estimation: A Quantitative Study
Durgesh Kumar Agrawal
Yash Pote
Kuldeep S. Meel
28
11
0
24 May 2021
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic
  Constraints via Message Passing
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Zhe Zeng
Paolo Morettin
Fanqi Yan
Antonio Vergari
Mathias Niepert
TPM
17
16
0
28 Feb 2020
Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians
Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians
Prakash P. Shenoy
BDL
51
57
0
27 Jun 2012
Studies in Lower Bounding Probabilities of Evidence using the Markov
  Inequality
Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality
Vibhav Gogate
Bozhena Bidyuk
R. Dechter
26
15
0
20 Jun 2012
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