1BC2: a true first-order Bayesian classifier

N Lachiche; PA Flach

1BC2: a true first-order Bayesian classifier

N Lachiche
, PA Flach

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 contribution	1BC2: a true first-order Bayesian classifier
Original language	English
Title of host publication	Unknown
Publisher	Springer
Pages	133 - 148
Number of pages	15
Publication status	Published - Jul 2002

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

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@inproceedings{e4a99fa231f84ba98fa3946acde1ccc1,

title = "1BC2: a true first-order Bayesian classifier",

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.",

author = "N Lachiche and PA Flach",

note = "Conference Proceedings/Title of Journal: Proceedings of the 12th International Conference on Inductive Logic Programming",

year = "2002",

month = jul,

language = "English",

pages = "133 -- 148",

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T1 - 1BC2: a true first-order Bayesian classifier

AU - Lachiche, N

AU - Flach, PA

N1 - Conference Proceedings/Title of Journal: Proceedings of the 12th International Conference on Inductive Logic Programming

PY - 2002/7

Y1 - 2002/7

N2 - 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.

AB - 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.

M3 - Conference Contribution (Conference Proceeding)

SP - 133

EP - 148

BT - Unknown

PB - Springer

ER -

1BC2: a true first-order Bayesian classifier

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