Improving the mean field approximation via the use of mixture distributions

Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm

EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

The VC Dimension for Mixtures of Binary Classifiers

Neural Computation

Convex variational Bayesian inference for large scale generalized linear models

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

Variational mixture smoothing for non-linear dynamical systems

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Variational approximations between mean field theory and the junction tree algorithm

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

Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency

Computational Statistics & Data Analysis