Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach

DOI10.1016/j.amc.2013.12.087zbMath1410.62108OpenAlexW2035742230WikidataQ62701550 ScholiaQ62701550MaRDI QIDQ1644084

Y. Aharonov

Publication date: 21 June 2018

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.12.087

zbMATH Keywords

support vector machinesdirected acyclic graphsone-versus-allslate tile classificationUCI machine learning repository

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

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Uses Software

• LOQO
• UCI-ml
• SVMlight
• SVMTorch

Cites Work

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• Parallel algorithm for training multiclass proximal support vector machines
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Support-vector networks
• A new semi-supervised PSVM classifier
• 10.1162/15324430152733142
• LOQO:an interior point code for quadratic programming
• Algorithmic Learning Theory
• Advances in Neural Networks – ISNN 2005
• On the learnability and design of output codes for multiclass problems

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