Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
type: Item
instance of: scholarly article
title: Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
zbMATH Open document ID: 1115.68125
author: Senjian An
author: Wanquan Liu
author: Svetha Venkatesh
published in: Pattern Recognition
publication date: 2007-05-23T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5156559
zbMATH Keywords: model selection
zbMATH Keywords: cross-validation
zbMATH Keywords: kernel methods
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.patcog.2006.12.015
OpenAlex ID: W1973650920
Wikidata QID: Q60491263
cites work: Q4856771
cites work: Chaos control using least-squares support vector machines
cites work: Q4784077
cites work: Benchmarking least squares support vector machine classifiers
cites work: Linear Model Selection by Cross-Validation
cites work: Advances in large-margin classifiers
cites work: Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
cites work: Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers.
cites work: 10.1162/153244303768966085
cites work: 10.1162/15324430260185619
cites work: Soft margins for AdaBoost
DOI: 10.1016/J.PATCOG.2006.12.015
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description: scientific article; zbMATH DE number 5156559