Variable Selection for Naive Bayes Semisupervised Learning

DOI10.1080/03610918.2012.762391zbMath1359.62235OpenAlexW1995435152MaRDI QIDQ2876179

Changyi Park, Ja-Yong Koo, Kyu-Dong Cho, Kwang-Rae Kim, Byoung-Jeong Choi

Publication date: 18 August 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.762391

zbMATH Keywords

EM algorithmmodel selectiondensity estimationvariable selectionnaive BayesBICsemisupervised learningcommon density

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Oracle properties of SCAD-penalized support vector machine
• Naive Bayesian classification of structured data
• Estimating the dimension of a model
• On the optimality of the simple Bayesian classifier under zero-one loss
• Text classification from labeled and unlabeled documents using EM
• Model-based mixture discriminant analysis -- an experimental study
• The EM Algorithm and Extensions, 2E
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

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