An Introduction to Variational Methods for Graphical Models
Machine Learning
A simple method for finding a legal configuration in complex Bayesian networks
Statistics and Computing
Multilocus linkage analysis by blocked Gibbs sampling
Statistics and Computing
Importance Sampling in Bayesian Networks Using Antithetic Variables
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Stacked dependency networks for layout document structuring
Proceedings of the 2008 ACM symposium on Applied computing
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
Cutset sampling for Bayesian networks
Journal of Artificial Intelligence Research
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Mean-field methods for a special class of belief networks
Journal of Artificial Intelligence Research
Variational probabilistic inference and the QMR-DT network
Journal of Artificial Intelligence Research
Dynamic importance sampling in Bayesian networks based on probability trees
International Journal of Approximate Reasoning
Cycle-cutset sampling for Bayesian networks
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Modeling relations and their mentions without labeled text
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Improved sampling for diagnostic reasoning in Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
HUGS: combining exact inference and Gibbs sampling in junction trees
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
An empirical study of w-cutset sampling for bayesian networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Answering queries in hybrid Bayesian networks using importance sampling
Decision Support Systems
A probabilistic model for canonicalizing named entity mentions
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Learning recursive probability trees from probabilistic potentials
International Journal of Approximate Reasoning
A non-parametric hierarchical model to discover behavior dynamics from tracks
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Addressing the concerns of the lacks family: quantification of kin genomic privacy
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
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