IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete data clustering using finite mixture models
Pattern Recognition
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers
Data Mining and Knowledge Discovery
Combining the Opinions of Experts Who Partition Events Differently
Decision Analysis
Hidden Markov models with stick-breaking priors
IEEE Transactions on Signal Processing
Computational Statistics & Data Analysis
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Individual attribute prior setting methods for naïve Bayesian classifiers
Pattern Recognition
Noncompensatory Dyadic Choices
Marketing Science
Variational bayesian dirichlet-multinomial allocation for exponential family mixtures
ECML'06 Proceedings of the 17th European conference on Machine Learning
The generalized dirichlet distribution in enhanced topic detection
Proceedings of the 21st ACM international conference on Information and knowledge management
Data Mining and Knowledge Discovery
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