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Adaptive SVM for Data Stream Classification

In this paper, we address the problem of learning an adaptive classifier for the classification of continuous streams of data. We present a solution based on incremental extensions of the Support Vector Machine (SVM) learning paradigm that updates an existing SVM whenever new training data are acqui...

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Hlavní autoři: Isah A. Lawal, Salihu A. Abdulkarim
Médium: Artigo
Jazyk:Inglês
Vydáno: South African Institute of Computer Scientists and Information Technologists 2017-07-01
Edice:South African Computer Journal
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On-line přístup:http://sacj.cs.uct.ac.za/index.php/sacj/article/view/414
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