1BC2: a true first-order Bayesian classifier

N Lachiche, PA Flach

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

Abstract

In previouswork [3] we presented 1BC, a first-order Bayesian classifier. 1BC applies dynamic propositionalisation, in the sense that attributes representing first-order features are generated exhaustively within a given feature bias, but during learning rather than as a pre-processing step. In this paper we describe 1BC2, which learns from structured data by fitting various parametric distributions over sets and lists to the data.We evaluate the feasibility of the approach by various experiments.
Translated title of the contribution1BC2: a true first-order Bayesian classifier
Original languageEnglish
Title of host publicationUnknown
PublisherSpringer
Pages133 - 148
Number of pages15
Publication statusPublished - Jul 2002

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the 12th International Conference on Inductive Logic Programming

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