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 contribution||Decomposing probability distributions on structured individuals|
|Title of host publication||Proceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics|
|Publisher||European Conference on Machine Learning|
|Publication status||Published - 2000|
Bibliographical noteOther 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