Learning Bayesian network classifiers from label proportions

Jerónimo Hernández-González; Iñaki Inza; José A. Lozano

doi:10.1016/j.patcog.2013.05.002

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JOURNAL ARTICLE

Learning Bayesian network classifiers from label proportions

Jerónimo Hernández-González Iñaki Inza José A. Lozano

Year: 2013 Journal: Pattern Recognition Vol: 46 (12)Pages: 3425-3440 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2013.05.002

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Keywords:

Disjoint sets Artificial intelligence Computer science Class (philosophy) Machine learning Bayesian probability Bayesian network Pattern recognition (psychology) Multi-label classification Data mining Mathematics

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Topics

Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Learning Bayesian network classifiers from label proportions

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