Mean field variational Bayesian inference for support vector machine classification

DOI10.1016/j.csda.2013.10.030zbMath1506.62120arXiv1305.2667OpenAlexW2017339397MaRDI QIDQ1623434

John T. Ormerod, Jan Luts

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.2667

zbMATH Keywords

Markov chain Monte Carlomissing datavariable selectionmixed modelapproximate Bayesian inference

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects ⋮ Variational discriminant analysis with variable selection ⋮ Variational message passing for elaborate response regression models

Uses Software

• UCI-ml
• rms
• SemiPar
• PRMLT

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