Incremental learning for \(\nu\)-support vector regression

DOI10.1016/j.neunet.2015.03.013zbMath1394.68286OpenAlexW2042230250WikidataQ50588843 ScholiaQ50588843MaRDI QIDQ1669094

Shuo Li, Victor S. Sheng, Said Osman, Zhijie Wang, Derek Ho, Bin Gu

Publication date: 30 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.03.013

zbMATH Keywords

online learningincremental learningsupport vector machine\(\nu\)-support vector regression

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• UCI-ml
• LIBSVM
• Pegasos

Cites Work

• Accurate on-line \(\nu\)-support vector learning
• Pegasos: primal estimated sub-gradient solver for SVM
• Multivariate adaptive regression splines
• Training v-Support Vector Classifiers: Theory and Algorithms
• Training v-Support Vector Regression: Theory and Algorithms
• Efficient Computation and Model Selection for the Support Vector Regression
• Accurate On-line Support Vector Regression
• A tutorial on ν‐support vector machines
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