2020
PGM
PGM 2020
GOBNILP: Learning Bayesian network structure with integer programming
Abstract
The GOBNILP system for learning Bayesian networks is presented. Both the Python and C implementations are discussed. The usefulness of learning multiple BNs is highlighted. Current work on ‘pricing in’ new integer programming variables is presented.
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Interdisciplinary Bridge
- Artificial Intelligence and Mathematics & Optimization
Authors
Topics
Machine Learning > Optimization & Theory > Optimization
Mathematics & Optimization > Optimization > Combinatorial Optimization
Machine Learning > Bayesian & Probabilistic > Bayesian Learning
Machine Learning > Core Methods > Graphical Models
Machine Learning > Bayesian & Probabilistic > Bayesian Networks
Mathematics & Optimization > Optimization > Integer Programming
Artificial Intelligence > Bayesian & Probabilistic > Bayesian Networks