Estimating dependency structure as a hidden variable

Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

Modeling dependencies in protein-DNA binding sites

RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology

Learning with mixtures of trees

The Journal of Machine Learning Research

Learning Hidden Variable Networks: The Information Bottleneck Approach

The Journal of Machine Learning Research

Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification

Neural Computation

Learning distributed bayesian network structure using majority-based method

Journal of Computational Methods in Sciences and Engineering

Probabilistic graphical models in artificial intelligence

Applied Soft Computing

The Bayesian structural EM algorithm

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

Learning bayesian network equivalence classes from incomplete data

DS'06 Proceedings of the 9th international conference on Discovery Science