Decomposing probability distributions on structured individuals

Peter Flach, Brito Paula, Lachiche Nicolas, Costa Joaquim, Malerba Donato

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Naive Bayesian classifiers are very successful in attribute-value representations. However, it is not clear how the decomposition of the probability distributions on attribute-value tuples underlying those classifiers can be applied on structured individuals, for instance sets of tuples as in the multiple instance problem. This paper presents a decomposition of probability distributions on structured individuals. It shows how it results in a propositionalisation of the data guided by the decomposition of the structure of the individual. This is illustrated by using the first-order naive Bayesian classifier 1BC to perform the decomposition of probability distributions on structured individuals.
Translated title of the contributionDecomposing probability distributions on structured individuals
Original languageEnglish
Title of host publicationProceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics
PublisherEuropean Conference on Machine Learning
Publication statusPublished - 2000

Bibliographical note

Other page information: 33-43
Conference Proceedings/Title of Journal: Proceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics
Other identifier: 1000484

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