Statistical Aspects of Stochastic Logic Programs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stochastic logic programs (SLPs) and the various distributions they define are presented with a stress on their characterisation in terms of Markov chains. Sampling, parameter estimation and structure learning for SLPs are discussed. The application of SLPs to Bayesian learning, computational linguistics and computational biology are considered. Lafferty's Gibbs-Markov models are compared and contrasted with SLPs.
Original languageEnglish
Title of host publicationArtificial Intelligence and Statistics 2001: Proceedings of the Eighth International Workshop
EditorsTommi Jaakkola, Thomas Richardson
Place of PublicationKey West, Florida
PublisherMORGAN KAUFMANN PUB INC
Pages181-186
Number of pages6
Publication statusPublished - 1 Jan 2001

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