Feature selection in the Laplacian support vector machine

DOI10.1016/J.CSDA.2010.05.026zbMath1246.68183OpenAlexW1998848461MaRDI QIDQ452629

Sangjun Lee, Ja-Yong Koo, Changyi Park

Publication date: 15 September 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.05.026

zbMATH Keywords

classificationsemi-supervised learningcomponent selection and smoothing operatorfunctional ANOVA decompositionmanifold regularization

Mathematics Subject Classification ID

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

Uses Software

• ElemStatLearn

Cites Work

• Component selection and smoothing in multivariate nonparametric regression
• Generalized additive models. With discussion
• Support-vector networks
• Consistency of spectral clustering
• Structured multicategory support vector machines with analysis of variance decomposition
• Introduction to Semi-Supervised Learning
• The elements of statistical learning. Data mining, inference, and prediction
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