A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate

DOI10.1080/00207720701727822zbMath1283.93293OpenAlexW2135500128MaRDI QIDQ5402731

No author found.

Publication date: 17 March 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://eprints.soton.ac.uk/265096/1/789786254.pdf

zbMATH Keywords

classificationregularizationcross validationforward regressionsystem identification.

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Identification in stochastic control theory (93E12)

Cites Work

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• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Orthogonal least squares methods and their application to non-linear system identification
• 10.1162/15324430152748236
• Soft margins for AdaBoost
• Kernel matching pursuit
• A new look at the statistical model identification

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