Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks

27 March 2013

Papers citing "Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks"

38 / 38 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
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains Pedro Zuidberg Dos Martires Luc de Raedt Angelika Kimmig 21 4 0 21 Feb 2023
Context-Specific Likelihood Weighting Nitesh Kumar Ondrej Kuzelka 18 1 0 24 Jan 2021
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks C. Park Kathryn B. Laskey Paulo C. G. Costa Shou Matsumoto BDL 9 2 0 06 Jun 2018
Using Deep Neural Network Approximate Bayesian Network Jie Jia Honggang Zhou Yunchun Li BDL UQCV 27 3 0 31 Dec 2017
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models Yuting Qiang Yanwei Fu Xiao Yu Yanwen Guo Zhi-Hua Zhou Leonid Sigal 13 29 0 21 Feb 2017
Survey on Models and Techniques for Root-Cause Analysis Marc Solé V. Muntés-Mulero Annie Ibrahim Rana G. Estrada 10 93 0 30 Jan 2017
Situated Structure Learning of a Bayesian Logic Network for Commonsense Reasoning Haley Garrison Sonia Chernova NAI 18 1 0 01 Jul 2016
Learning to Generate Posters of Scientific Papers Yuting Qiang Yanwei Fu Yanwen Guo Zhi-Hua Zhou Leonid Sigal 14 24 0 05 Apr 2016
A Linear Approximation Method for Probabilistic Inference Ross D. Shachter 65 13 0 27 Mar 2013
Simulation Approaches to General Probabilistic Inference on Belief Networks Ross D. Shachter M. Peot TPM 75 391 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
Search-based Methods to Bound Diagnostic Probabilities in Very Large Belief Nets M. Henrion TPM 23 73 0 20 Mar 2013
Reformulating Inference Problems Through Selective Conditioning P. Dagum Eric Horvitz 55 8 0 13 Mar 2013
Dynamic Network Models for Forecasting P. Dagum Adam Galper Eric Horvitz AI4TS 59 228 0 13 Mar 2013
Diagnosis of Multiple Faults: A Sensitivity Analysis David Heckerman M. Shwe 48 10 0 06 Mar 2013
Incremental Dynamic Construction of Layered Polytree Networks K. Ng Tod S. Levitt 3DV CLL 37 2 0 27 Feb 2013
Backward Simulation in Bayesian Networks R. Fung B. D. Favero 60 92 0 27 Feb 2013
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks R. Bouckaert 60 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 50 28 0 13 Feb 2013
Some Experiments with Real-Time Decision Algorithms Bruce DÁmbrosio Scott A. Burgess 31 17 0 13 Feb 2013
Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks Adrian Y. W. Cheuk Craig Boutilier TPM 62 15 0 06 Feb 2013
Adaptive Importance Sampling for Estimation in Structured Domains Luis E. Ortiz L. Kaelbling 50 41 0 16 Jan 2013
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks Jian Cheng Marek J Druzdzel 51 54 0 16 Jan 2013
Value-Directed Sampling Methods for POMDPs Pascal Poupart Luis E. Ortiz Craig Boutilier 44 5 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 53 106 0 19 Oct 2012
Cutset Sampling with Likelihood Weighting Bozhena Bidyuk R. Dechter 63 6 0 27 Jun 2012
Importance Sampling via Variational Optimization Ydo Wexler D. Geiger 58 9 0 20 Jun 2012
Large-Flip Importance Sampling F. Hamze Nando de Freitas 29 5 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 57 13 0 09 May 2012
Cutset Sampling for Bayesian Networks Bozhena Bidyuk R. Dechter TPM BDL 75 57 0 12 Oct 2011
Policy Recognition in the Abstract Hidden Markov Model Hung Bui Svetha Venkatesh G. West 74 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 59 200 0 27 May 2011