A formal approach to using data distributions for building causal polytree structures

DOI10.1016/J.INS.2004.01.001zbMath1105.68092OpenAlexW2044866351WikidataQ57707185 ScholiaQ57707185MaRDI QIDQ2486020

Yanyan Li

Publication date: 5 August 2005

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2004.01.001

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Approximation algorithms (68W25)

Related Items (2)

The Gaussian Polytree EDA with Copula Functions and Mutations ⋮ High-dimensional consistency in score-based and hybrid structure learning

Cites Work

• A Bayesian method for the induction of probabilistic networks from data
• Approximating discrete probability distributions with dependence trees
• On Information and Sufficiency
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