Stepwise feature selection using generalized logistic loss

DOI10.1016/J.CSDA.2007.12.011zbMath1452.62838OpenAlexW2014558544MaRDI QIDQ1023708

Peter T. Kim, Jae Won Lee, Changyi Park, Ja-Yong Koo

Publication date: 12 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2007.12.011

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• ElemStatLearn

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multivariate adaptive regression splines
• Estimating the dimension of a model
• Support-vector networks
• Structured multicategory support vector machines with analysis of variance decomposition
• Selection bias in gene extraction on the basis of microarray gene-expression data
• 10.1162/153244303322753616
• Multicategory Support Vector Machines
• Linear Statistical Inference and its Applications
• The elements of statistical learning. Data mining, inference, and prediction
• Gene selection for cancer classification using support vector machines

This page was built for publication: Stepwise feature selection using generalized logistic loss