TAN classifiers based on decomposable distributions

DOI10.1007/s10994-005-0470-7zbMath1105.68091OpenAlexW2022577571MaRDI QIDQ1778139

Ramon López Mántaras, Jesús Cerquides

Publication date: 17 June 2005

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

Full work available at URL: https://doi.org/10.1007/s10994-005-0470-7

zbMATH Keywords

Bayesian networksnaive BayesBayesian model averagingBayesian network classifierstree augmented naive Bayesdecomposable distributions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Bayesian analysis of population structure based on linked molecular information ⋮ Marginal and simultaneous predictive classification using stratified graphical models ⋮ Bayesian Model Averaging: A Systematic Review and Conceptual Classification ⋮ Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy ⋮ Discretization for Naive-Bayes learning: managing discretization bias and variance

Uses Software

• NTL
• HandTill2001

Cites Work

• On the optimality of the simple Bayesian classifier under zero-one loss
• Bayesian network classifiers
• Learning Bayesian networks: The combination of knowledge and statistical data
• An Algorithm for Finding K Minimum Spanning Trees
• A Randomized Time-Work Optimal Parallel Algorithm for Finding a Minimum Spanning Forest
• Approximating discrete probability distributions with dependence trees
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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