Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering
type: Item
instance of: scholarly article
title: Lambda pruning: an approximation of the string subsequence kernel for practical SVM classification and redundancy clustering
zbMATH Open document ID: 1183.68504
author: Alexander K. Seewald
author: Florian Kleedorfer
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2009-12-14T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 93A30
zbMATH DE Number: 5646596
zbMATH Keywords: machine learning
zbMATH Keywords: kernel methods
zbMATH Keywords: string kernels
zbMATH Keywords: runtime estimation
zbMATH Keywords: memory consumption estimation
MaRDI profile type: Publication
full work available at URL: s11634-007-0012-1
OpenAlex ID: W2037957123
cites work: Q3093213
cites work: An introduction to support vector machines and other kernel-based learning methods.
cites work: Q5312442
cites work: 10.1162/153244302760200687
cites work: Q5595902
cites work: Q3093300
DOI: 10.1007/S11634-007-0012-1
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description: scientific article; zbMATH DE number 5646596