A core set based large vector-angular region and margin approach for novelty detection

DOI10.1155/2016/1658758zbMath1400.68168OpenAlexW2259860712WikidataQ59131019 ScholiaQ59131019MaRDI QIDQ1792718

Jiusheng Chen, Kai Guo, Xiao-Yu Zhang

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/1658758

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation algorithms (68W25)

Uses Software

• UCI-ml
• LIBSVM

Cites Work

• Unnamed Item
• The maximum vector-angular margin classifier and its fast training on large datasets using a core vector machine
• Support vector data description
• On the doubt about margin explanation of boosting
• Training v-Support Vector Classifiers: Theory and Algorithms
• 10.1162/15324430260185574

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