Logistic Discrimination with Total Variation Regularization

DOI10.1080/03610910802178398zbMath1154.62047OpenAlexW2074426084WikidataQ58194141 ScholiaQ58194141MaRDI QIDQ3543727

Robin Rühlicke, Daniel Gervini

Publication date: 4 December 2008

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

Full work available at URL: https://doi.org/10.1080/03610910802178398

zbMATH Keywords

classificationspeech recognitiondiscriminationmachine learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Uses Software

• ElemStatLearn

Cites Work

• Nonconcave penalized likelihood with a diverging number of parameters.
• The Performance of Fisher's Linear Discriminant Function under Non-Optimal Conditions
• Numerical Optimization
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Classification of gene microarrays by penalized logistic regression
• The elements of statistical learning. Data mining, inference, and prediction

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