Scaling up minimum enclosing ball with total soft margin for training on large datasets

DOI10.1016/j.neunet.2012.09.013zbMath1258.68114OpenAlexW1988569968WikidataQ40071665 ScholiaQ40071665MaRDI QIDQ1942728

Wenjun Hu, Wenhao Ying, Shi-Tong Wang, Fu-lai Chung

Publication date: 13 March 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2012.09.013

zbMATH Keywords

soft marginlarge datasetsminimum enclosing ball (MEB)core setcore vector machineextended core set

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Multi-view L2-SVM and its multi-view core vector machine ⋮ Joint group and pairwise localities embedding for feature extraction

Uses Software

• UCI-ml
• FRSDE

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
• New support vector algorithms with parametric insensitive/margin model
• Support-vector networks
• FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation
• 10.1162/15324430260185619

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