Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting

Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction

Machine Learning - Special issue: Unsupervised learning

Relative Unsupervised Discretization for Regresseion Problems

ECML '00 Proceedings of the 11th European Conference on Machine Learning

A Linear-Bayes Classifier

IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence

Learning with mixtures of trees

The Journal of Machine Learning Research

Latent Classification Models

Machine Learning

Dependency trees in sub-linear time and bounded memory

The VLDB Journal — The International Journal on Very Large Data Bases

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

Neural Computation

An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification

Journal of VLSI Signal Processing Systems

Prognostic Bayesian networks

Journal of Biomedical Informatics

Variable predictive models-A new multivariate classification approach for pattern recognition applications

Pattern Recognition

Online query relaxation via Bayesian causal structures discovery

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2

Bayesian network classification using spline-approximated kernel density estimation

Pattern Recognition Letters

A Bayesian network classifier that combines a finite mixture model and a naïve bayes model

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Mix-nets: factored mixtures of Gaussians in Bayesian networks with mixed continuous and discrete variables

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

Gaussian process networks

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

A Bayesian multiresolution independence test for continuous variables

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

Learning bayesian-neural network from mixed-mode data

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I