A Maximum Entropy Approach to Learn Bayesian Networks from Incomplete Data

DOI10.1007/978-3-319-12454-4_6zbMath1364.62061OpenAlexW338678865MaRDI QIDQ5266576

Giorgio Corani, Cassio Polpo de Campos

Publication date: 16 June 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-12454-4_6

zbMATH Keywords

incomplete datamaximum entropyBayesian networkestimatingposterior probability function

Mathematics Subject Classification ID

Bayesian inference (62F15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Measures of information, entropy (94A17)

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