A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables

23 January 2013

Papers citing "A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables"

11 / 11 papers shown

Title
Simulation Approaches to General Probabilistic Inference on Belief Networks Ross D. Shachter M. Peot TPM 102 391 0 27 Mar 2013
Approximations in Bayesian Belief Universe for Knowledge Based Systems Frank Jensen S. K. Anderson TPM 39 110 0 27 Mar 2013
Symbolic Probabilistic Inference with Continuous Variables Kuo-Chu Chang R. Fung 35 21 0 20 Mar 2013
Global Conditioning for Probabilistic Inference in Belief Networks Ross D. Shachter S. K. Andersen Peter Szolovits TPM AI4CE 33 104 0 27 Feb 2013
Optimal Junction Trees F. V. Jensen Frank Jensen 30 211 0 27 Feb 2013
Implementation of Continuous Bayesian Networks Using Sums of Weighted Gaussians E. Driver D. Morrell TPM 34 47 0 20 Feb 2013
Bucket Elimination: A Unifying Framework for Several Probabilistic Inference R. Dechter TPM 34 559 0 13 Feb 2013
A Sufficiently Fast Algorithm for Finding Close to Optimal Junction Trees A. Becker D. Geiger 34 91 0 13 Feb 2013
Inference Using Message Propagation and Topology Transformation in Vector Gaussian Continuous Networks S. Alag A. Agogino 36 14 0 13 Feb 2013
Nonuniform Dynamic Discretization in Hybrid Networks A. Kozlov D. Koller 53 173 0 06 Feb 2013
Variational Probabilistic Inference and the QMR-DT Network Tommi Jaakkola Michael I. Jordan BDL 70 201 0 27 May 2011