Dependent Dirichlet priors and optimal linear estimators for belief net parameters
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Using query-specific variance estimates to combine Bayesian classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
The Journal of Machine Learning Research
Scalable pattern mining with Bayesian networks as background knowledge
Data Mining and Knowledge Discovery
Visual explanation of evidence in additive classifiers
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Discriminative model selection for belief net structures
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Confidence intervals for probabilistic network classifiers
Computational Statistics & Data Analysis
Improved mean and variance approximations for belief net responses via network doubling
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Hi-index | 0.00 |