Entropy-Based Learning of Compositional Models from Data

DOI10.1007/978-3-030-88601-1_12zbMath1518.68304MaRDI QIDQ6488067

Václav Kratochvíl, Radim Jiroušek, Prakash P. Shenoy

Publication date: 24 March 2023

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17)

Related Items (1)

Entropy for evaluation of Dempster-Shafer belief function models

Cites Work

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• A Mathematical Theory of Communication
• Properties of measures of information in evidence and possibility theories
• Conditional independence in valuation-based systems
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• On properties of a new decomposable entropy of Dempster-Shafer belief functions
• Compositional models in valuation-based systems
• On the plausibility transformation method for translating belief function models to probability models
• Foundations of compositional model theory
• Foundations of compositional models: structural properties
• On Information and Sufficiency

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