Approximation Methods for Efficient Learning of Bayesian Networks

Fusion, propagation, and structuring in belief networks

Artificial Intelligence

Statistical analysis with missing data

Statistical analysis with missing data

Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference

The computational complexity of probabilistic inference using Bayesian belief networks (research note)

Artificial Intelligence

Theory refinement on Bayesian networks

Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence

A Bayesian Method for the Induction of Probabilistic Networks from Data

Machine Learning

Neural networks and the bias/variance dilemma

Neural Computation

The EM algorithm for graphical association models with missing data

Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek

Blocking Gibbs sampling in very large probabilistic expert systems

International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

Machine Learning

Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters

IEEE Transactions on Pattern Analysis and Machine Intelligence

Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables

Machine Learning - Special issue on learning with probabilistic representations

Adaptive Probabilistic Networks with Hidden Variables

Machine Learning - Special issue on learning with probabilistic representations

A tutorial on learning with Bayesian networks

Learning in graphical models

Causality: models, reasoning, and inference

Causality: models, reasoning, and inference

Robust Learning with Missing Data

Machine Learning

Bayesian Networks and Decision Graphs

Bayesian Networks and Decision Graphs

Probabilistic Networks and Expert Systems

Probabilistic Networks and Expert Systems

Mixture reduction via predictive scores

Statistics and Computing

Learning Belief Networks in the Presence of Missing Values and Hidden Variables

ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning

Equivalence and synthesis of causal models

UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence

Enumerating Markov Equivalence Classes of Acyclic Digraph Models

UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence

Markov Chain Monte Carlo using Tree-Based Priors on Model Structure

UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence

Improved learning of Bayesian networks

UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence

Learning equivalence classes of bayesian-network structures

The Journal of Machine Learning Research

Optimal structure identification with greedy search

The Journal of Machine Learning Research

On inclusion-driven learning of bayesian networks

The Journal of Machine Learning Research

Monte Carlo Statistical Methods (Springer Texts in Statistics)

Monte Carlo Statistical Methods (Springer Texts in Statistics)

Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)

Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)

Learning parameters of Bayesian networks from incomplete data via importance sampling

International Journal of Approximate Reasoning

Learning Bayesian networks from incomplete data

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

The Bayesian structural EM algorithm

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

A transformational characterization of equivalent Bayesian network structures

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence

Learning Bayesian networks from incomplete databases

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence

On local optima in learning bayesian networks

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence

MCMC learning of bayesian network models by markov blanket decomposition

ECML'05 Proceedings of the 16th European conference on Machine Learning