Learning along a channel: the expectation part of expectation-maximisation

DOI10.1016/J.ENTCS.2019.09.008OpenAlexW2994759950WikidataQ113317355 ScholiaQ113317355MaRDI QIDQ2133170

Bart Jacobs

Publication date: 29 April 2022

Full work available at URL: https://doi.org/10.1016/j.entcs.2019.09.008

zbMATH Keywords

latent variablesprobabilistic learningmaximal likelihood estimationexpectation-maximisationlearning along a channel

Mathematics Subject Classification ID

Semantics in the theory of computing (68Q55) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30)

Related Items (1)

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Uses Software

• EfProb
• PRMLT

Cites Work

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• From probability monads to commutative effectuses
• A predicate/state transformer semantics for Bayesian learning
• Pointless Learning
• Bayesian Networks and Decision Graphs
• Modeling and Reasoning with Bayesian Networks
• The EfProb Library for Probabilistic Calculations
• A Formal Semantics of Influence in Bayesian Reasoning
• The Logical Essentials of Bayesian Reasoning
• Bayesian Reasoning and Machine Learning
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

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