Empirical Study of Recommender Systems Using Linear Classifiers
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Recommender systems using linear classifiers
The Journal of Machine Learning Research
Sparse graphical models for exploring gene expression data
Journal of Multivariate Analysis
Learning dynamic Bayesian network models via cross-validation
Pattern Recognition Letters
Learning structurally consistent undirected probabilistic graphical models
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Efficient and robust independence-based Markov network structure discovery
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient Markov network structure discovery using independence tests
Journal of Artificial Intelligence Research
Structure learning with nonparametric decomposable models
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Modeling discrete interventional data using directed cyclic graphical models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Dependency networks for collaborative filtering and data visualization
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
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