A comparative analysis of support vector machines and extreme learning machines

DOI10.1016/j.neunet.2012.04.002zbMath1258.68118OpenAlexW2065398998WikidataQ45960639 ScholiaQ45960639MaRDI QIDQ1941592

Ping Li, Chuanhou Gao, Xueyi Liu

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.2012.04.002

zbMATH Keywords

computational complexitygeneralization abilityVC dimensionSVMELM

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Discriminative clustering via extreme learning machine ⋮ Trends in extreme learning machines: a review ⋮ The Exact VC Dimension of the WiSARD n-Tuple Classifier

Uses Software

• UCI-ml

Cites Work

• Support-vector networks
• Theoretical foundations of the potential function method in pattern recognition learning
• Evolutionary extreme learning machine
• Matrices
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