The IBMAP approach for Markov network structure learning

DOI10.1007/s10472-014-9419-5zbMath1319.68189arXiv1301.3720OpenAlexW2073050283MaRDI QIDQ2254625

Federico Schlüter, Alejandro Edera, Facundo Bromberg

Publication date: 5 February 2015

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.3720

zbMATH Keywords

knowledge discoverystructure learningEDAsMarkov networkindependence tests

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Blankets joint posterior score for learning Markov network structures

Uses Software

• UCI-ml
• TETRAD

Cites Work

• MARLEDA: effective distribution estimation through Markov random fields
• High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
• Causation, prediction, and search
• Markov Random Field Modeling in Image Analysis
• Graphical Models, Exponential Families, and Variational Inference
• Efficient Markov Network Structure Discovery Using Independence Tests
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