an entropy-driven system for construction of probabilistic expert systems from databases

A “Microscopic” Study of Minimum Entropy Search in Learning Decomposable Markov Networks

Machine Learning

Learning Bayesian networks from data: an information-theory based approach

Artificial Intelligence

Application of Bayesian Network Learning Methods to Waste Water Treatment Plants

Applied Intelligence

Parallel Learning of Belief Networks in Large and Difficult Domains

Data Mining and Knowledge Discovery

Constructing Efficient Belief Network Structures With Expert Provided Information

IEEE Transactions on Knowledge and Data Engineering

A Guide to the Literature on Learning Probabilistic Networks from Data

IEEE Transactions on Knowledge and Data Engineering

Current Approaches to Handling Imperfect Information in Data and Knowledge Bases

IEEE Transactions on Knowledge and Data Engineering

Structural and Probabilistic Knowledge for Abductive Reasoning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Dynamic Network Construction and Updating Techniques for the Diagnosis of Acute Abdominal Pain

IEEE Transactions on Pattern Analysis and Machine Intelligence

Learning Right Sized Belief Networks by Means of a Hybrid Methodology

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Learning Pseudo-independent Models: Analytical and Experimental Results

AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence

The minimum-entropy set cover problem

Theoretical Computer Science - Automata, languages and programming: Algorithms and complexity (ICALP-A 2004)

Learning causal networks from data: a survey and a new algorithm for recovering possibilistic causal networks

AI Communications

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

Neural Computation

A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests

The Journal of Machine Learning Research

Methods of constructing Bayesian networks based on scoring functions

Cybernetics and Systems Analysis

Learning Bayesian networks for discrete data

Computational Statistics & Data Analysis

Enabling Large-Scale Bayesian Network Learning by Preserving Intercluster Directionality

IEICE - Transactions on Information and Systems

Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs

Journal of Artificial Intelligence Research

Parallel distributed belief networks that learn

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2

Criteria to evaluate approximate belief network representations in expert systems

Decision Support Systems

Query construction for user-guided knowledge discovery in databases

Information Sciences: an International Journal

Probabilistic graphical models in artificial intelligence

Applied Soft Computing

Fraud/uncollectible debt detection using a Bayesian network based learning system: a rare binary outcome with mixed data structures

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

Exploring parallelism in learning belief networks

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

Learning belief networks in domains with recursively embedded pseudo independent submodels

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

Critical remarks on single link search in learning belief networks

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

A Bayesian method reexamined

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence

Bayesian meta-reasoning: determining model adequacy from within a small world

UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence

A Bayesian method for constructing Bayesian belief networks from databases

UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence

From relational databases to belief networks

UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence

A comparative evaluation of rough sets and probabilistic network algorithms on learning pseudo-independent domains

RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I

Hydrologic models for emergency decision support using bayesian networks

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

Review: learning bayesian networks: Approaches and issues

The Knowledge Engineering Review

A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service

Artificial Intelligence in Medicine

An optimization-based approach for the design of Bayesian networks

Mathematical and Computer Modelling: An International Journal

Towards a method for automatically evolving bayesian network classifiers

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation