Belief Revision and the EM Algorithm

DOI10.1007/978-3-319-40581-0_23zbMath1455.68204OpenAlexW2506900437MaRDI QIDQ5117216

Dubois, Didier, Inés Couso

Publication date: 20 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40581-0_23

zbMATH Keywords

belief revisionmaximum likelihoodincomplete informationexpectation-maximization

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (1)

A general framework for maximizing likelihood under incomplete data

Cites Work

• Statistical reasoning with set-valued information: ontic vs. epistemic views
• Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization
• The EM Algorithm and Extensions, 2E
• Upper and Lower Probabilities Induced by a Multivalued Mapping
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