GOBNILP: Globally Optimal Bayesian Network learning using Integer Linear Programming

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DatePublished - 2013
Original languageEnglish

Abstract

GOBNILP (Globally Optimal Bayesian Network learning using Integer Linear Programming) is a C program which learns Bayesian networks from complete discrete data or from local scores. The GOBNILP distribution provides a separate C program to generate BDeu local scores from complete discrete data. GOBNILP uses the SCIP framework for Constraint Integer Programming.

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