On the effective implementation of the iterative proportional fitting procedure

Probabilistic independence networks for hidden Markov probability models

Neural Computation

A Guide to the Literature on Learning Probabilistic Networks from Data

IEEE Transactions on Knowledge and Data Engineering

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

Neural Computation

Decomposable Families of Itemsets

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results

SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management

Maximum entropy based significance of itemsets

Knowledge and Information Systems

Statistical matching of multiple sources: A look through coherence

International Journal of Approximate Reasoning

Iterative proportional scaling via decomposable submodels for contingency tables

Computational Statistics & Data Analysis

Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR

IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging

Convexity arguments for efficient minimization of the Bethe and Kikuchi free energies

Journal of Artificial Intelligence Research

A systematic probabilistic approach to energy-efficient and robust data collections in wireless sensor networks

International Journal of Sensor Networks

Probabilistic models for query approximation with large sparse binary data sets

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

Approximate inference and constrained optimization

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

Probabilistic graphical models for the diagnosis of analog electrical circuits

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

An improved Hara-Takamura procedure by sharing computations on junction tree in Gaussian graphical models

Statistics and Computing