Authors: Rüping, Stefan
Title: Incremental Learning with Support Vector Machines
Language (ISO): en
Abstract: Support Vector Machines (SVMs) have become a popular tool for learning with large amounts of high dimensional data. However, it may sometimes be preferable to learn incrementally from previousSVM results, as computing a SVM is very costly in terms of time and memory consumption or because the SVM may be used in an online learning setting. In this paper an approach for incremental learning with Support Vector Machines is presented, that improves existing approaches. Empirical evidence is given to prove that this approach can effectively deal with changes in the target concept that are results of the incremental learning setting.
Subject Headings: support vector machines
incremental learning
URI: http://hdl.handle.net/2003/5225
http://dx.doi.org/10.17877/DE290R-15168
Issue Date: 2002
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
18_02.pdfDNB93.15 kBAdobe PDFView/Open
tr18-02.ps143.73 kBPostscriptView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.