Improving the mean field approximation via the use of mixture distributions

An Introduction to Variational Methods for Graphical Models

Machine Learning

Text Classification from Labeled and Unlabeled Documents using EM

Machine Learning - Special issue on information retrieval

Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations

IEEE Transactions on Pattern Analysis and Machine Intelligence

Creating probabilistic databases from information extraction models

VLDB '06 Proceedings of the 32nd international conference on Very large data bases

Graphical Models, Exponential Families, and Variational Inference

Foundations and Trends® in Machine Learning

Split variational inference

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Variational cumulant expansions for intractable distributions

Journal of Artificial Intelligence Research

Multimodal nonlinear filtering using Gauss-Hermite quadrature

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III

Incorporating expressive graphical models in variational approximations: chain-graphs and hidden variables

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

Hierarchical mixtures-of-experts for exponential family regression models with generalized linear mean functions: a survey of approximation and consistency results

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

Review: learning bayesian networks: Approaches and issues

The Knowledge Engineering Review

Margin-maximizing classification of sequential data with infinitely-long temporal dependencies

Expert Systems with Applications: An International Journal