Adaptive SVM for Data Stream Classification

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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Bibliographic Details
Main Authors: Isah A. Lawal, Salihu A. Abdulkarim
Format: Article
Language:English
Published: South African Institute of Computer Scientists and Information Technologists 2017-07-01
Series:South African Computer Journal
Subjects:
Incremental Learning
SVM
Action Classification
Online Access:http://sacj.cs.uct.ac.za/index.php/sacj/article/view/414

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