Simulation Approaches to General Probabilistic Inference on Belief Networks

27 March 2013

Papers citing "Simulation Approaches to General Probabilistic Inference on Belief Networks"

44 / 44 papers shown

Title
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference Jiantong Jiang Zeyi Wen Peiyu Yang A. Mansoor Ajmal Saeed Mian TPM 34 2 0 24 May 2024
Partition Function Estimation: A Quantitative Study Durgesh Kumar Agrawal Yash Pote Kuldeep S. Meel 12 11 0 24 May 2021
Context-Specific Likelihood Weighting Nitesh Kumar Ondrej Kuzelka 13 1 0 24 Jan 2021
Probabilistic Similarity Networks David Heckerman 12 0 0 06 Nov 2019
Survey on Models and Techniques for Root-Cause Analysis Marc Solé V. Muntés-Mulero Annie Ibrahim Rana G. Estrada 8 93 0 30 Jan 2017
A Linear Approximation Method for Probabilistic Inference Ross D. Shachter 60 13 0 27 Mar 2013
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks R. Fung Kuo-Chu Chang 56 328 0 27 Mar 2013
An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network M. Shwe G. Cooper 51 89 0 27 Mar 2013
IDEAL: A Software Package for Analysis of Influence Diagrams S. Srinivas J. Breese 51 52 0 27 Mar 2013
Ergo: A Graphical Environment for Constructing Bayesian I. Beinlich E. Herskovits 45 2 0 27 Mar 2013
Ideal Reformulation of Belief Networks J. Breese Eric Horvitz 44 52 0 27 Mar 2013
Bayesian Networks Aplied to Therapy Monitoring C. Berzuini D. Spiegelhalter Riccardo Bellazzi 45 0 0 20 Mar 2013
Reformulating Inference Problems Through Selective Conditioning P. Dagum Eric Horvitz 50 8 0 13 Mar 2013
Dynamic Network Models for Forecasting P. Dagum Adam Galper Eric Horvitz AI4TS 59 228 0 13 Mar 2013
Using Causal Information and Local Measures to Learn Bayesian Networks Wai Lam F. Bacchus 35 92 0 06 Mar 2013
Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties W. B. Poland Ross D. Shachter 49 41 0 06 Mar 2013
Diagnosis of Multiple Faults: A Sensitivity Analysis David Heckerman M. Shwe 43 10 0 06 Mar 2013
Incremental Dynamic Construction of Layered Polytree Networks K. Ng Tod S. Levitt 3DV CLL 35 2 0 27 Feb 2013
Backward Simulation in Bayesian Networks R. Fung B. D. Favero 55 92 0 27 Feb 2013
Value of Evidence on Influence Diagrams K. Ezawa 37 12 0 27 Feb 2013
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks R. Bouckaert 55 33 0 27 Feb 2013
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks K. Kanazawa D. Koller Stuart J. Russell 59 299 0 20 Feb 2013
Real Time Estimation of Bayesian Networks R. Welch 57 15 0 13 Feb 2013
Optimal Monte Carlo Estimation of Belief Network Inference Malcolm Pradhan P. Dagum TPM 45 28 0 13 Feb 2013
Tail Sensitivity Analysis in Bayesian Networks E. Castillo Cristina Solares Patricia Gómez 41 12 0 13 Feb 2013
Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks Adrian Y. W. Cheuk Craig Boutilier TPM 57 15 0 06 Feb 2013
Loopy Belief Propagation for Approximate Inference: An Empirical Study Kevin P. Murphy Yair Weiss Michael I. Jordan 3DV 70 1,879 0 23 Jan 2013
A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables Kevin P. Murphy 58 116 0 23 Jan 2013
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets D. Koller U. Lerner Dragomir Anguelov TPM 50 160 0 23 Jan 2013
Monte Carlo Inference via Greedy Importance Sampling Dale Schuurmans F. Southey 50 7 0 16 Jan 2013
Adaptive Importance Sampling for Estimation in Structured Domains Luis E. Ortiz L. Kaelbling 45 41 0 16 Jan 2013
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks Jian Cheng Marek J Druzdzel 49 54 0 16 Jan 2013
Exact Inference in Networks with Discrete Children of Continuous Parents U. Lerner E. Segal D. Koller 57 80 0 10 Jan 2013
Confidence Inference in Bayesian Networks Jian Cheng Marek J Druzdzel TPM 57 12 0 10 Jan 2013
An Importance Sampling Algorithm Based on Evidence Pre-propagation Changhe Yuan Marek J Druzdzel 45 106 0 19 Oct 2012
Cutset Sampling with Likelihood Weighting Bozhena Bidyuk R. Dechter 58 6 0 27 Jun 2012
Importance Sampling via Variational Optimization Ydo Wexler D. Geiger 51 9 0 20 Jun 2012
$Refractor Importance Sampling$ Refractor Importance Sampling Haohai Yu Robert A. van Engelen 56 6 0 13 Jun 2012
Monolingual Probabilistic Programming Using Generalized Coroutines O. Kiselyov Chung-chieh Shan LRM 55 13 0 09 May 2012
Measuring the Hardness of Stochastic Sampling on Bayesian Networks with Deterministic Causalities: the k-Test Haohai Yu Robert A. van Engelen BDL 51 1 0 14 Feb 2012
Cutset Sampling for Bayesian Networks Bozhena Bidyuk R. Dechter TPM BDL 70 57 0 12 Oct 2011
Policy Recognition in the Abstract Hidden Markov Model Hung Bui Svetha Venkatesh G. West 69 84 0 03 Jun 2011
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks Jian Cheng Marek J Druzdzel 64 31 0 01 Jun 2011
Variational Probabilistic Inference and the QMR-DT Network Tommi Jaakkola Michael I. Jordan BDL 54 200 0 27 May 2011