Construction of Bayesian network structures from data: A brief survey and an efficient algorithm

DOI10.1016/0888-613X(94)00016-VzbMath0814.68115OpenAlexW2122701761MaRDI QIDQ1346242

Moninder Singh, Marco Valtorta

Publication date: 22 March 1995

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0888-613x(94)00016-v

zbMATH Keywords

conditional independenceprobabilistic modelconstructionprobabilistic networksBayesian belief network structures

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of data (68P99)

Related Items

Ant colony optimization for learning Bayesian networks., Methods of constructing Bayesian networks based on scoring functions, A hybrid methodology for learning belief networks: BENEDICT, Normative selection of Bayesian networks, An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests, Possibilistic conditional independence: A similarity-based measure and its application to causal network learning, A prallel algorithm for building possibilistic causal networks, Learning Bayesian networks from data: An information-theory based approach, A new approach for learning belief networks using independence criteria, Discrete Bayesian Network Classifiers

Uses Software

• UCI-ml

Cites Work

• Optimization by Simulated Annealing
• Graphical models for associations between variables, some of which are qualitative and some quantitative
• A Bayesian method for the induction of probabilistic networks from data
• Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
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