Boosted Bayesian network classifiers

DOI10.1007/s10994-008-5065-7zbMath1470.68121OpenAlexW2096222410MaRDI QIDQ1009291

James M. Rehg, Vladimir Pavlović, Yushi Jing

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5065-7

zbMATH Keywords

AdaBooststructure learningBayesian network classifiersensemble models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)

Related Items (6)

Neighborhood hypergraph based classification algorithm for incomplete information system ⋮ Bayesian network classifiers ⋮ Learning Bayesian network classifiers by risk minimization ⋮ Gradient-based boosting for statistical relational learning: the relational dependency network case ⋮ Feature selection for Bayesian network classifiers using the MDL-FS score ⋮ Discrete Bayesian Network Classifiers

Uses Software

• UCI-ml
• BoosTexter

Cites Work

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• BoosTexter: A boosting-based system for text categorization
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• Learning Bayesian networks: The combination of knowledge and statistical data
• Improved boosting algorithms using confidence-rated predictions
• Hidden Markov Models for Speech Recognition
• Approximating discrete probability distributions with dependence trees

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