An empirical analysis of likelihood-weighting simulation on a large, multiply connected medical belief network

An Introduction to Variational Methods for Graphical Models

Machine Learning

Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms

Statistics and Computing

A Formal Analysis of Fault Diagnosis with D-matrices

Journal of Electronic Testing: Theory and Applications

AIS-BN: an adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks

Journal of Artificial Intelligence Research

Variational probabilistic inference and the QMR-DT network

Journal of Artificial Intelligence Research

TiMeDDx - A multi-phase anchor-based diagnostic decision-support model

Journal of Biomedical Informatics

Modified algorithm for efficient reasoning in qualitative belief networks

ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing

Loopy belief propagation for approximate inference: an empirical study

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Adaptive importance sampling for estimation in structured domains

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Recognition networks for approximate inference in BN20 networks

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Efficient search-based inference for noisy-OR belief networks: topepsilon

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

Optimal Monte Carlo estimation of belief network inference

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

Backward simulation in Bayesian networks

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence

Diagnosis of multiple faults: a sensitivity analysis

UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence

Review: learning bayesian networks: Approaches and issues

The Knowledge Engineering Review

Exploring the relationship between rationality and bounded rationality in medical knowledge-based systems

Artificial Intelligence in Medicine

Paper: A tutorial introduction to stochastic simulation algorithms for belief networks

Artificial Intelligence in Medicine