A comparative study on large scale kernelized support vector machines
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Publication:1630840
DOI10.1007/s11634-016-0265-7zbMath1416.68144OpenAlexW2485160283MaRDI QIDQ1630840
Bernd Bischl, Claus Weihs, Daniel Horn, Tobias Glasmachers, Aydın Demircioğlu
Publication date: 5 December 2018
Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11634-016-0265-7
multi-objective optimizationsupervised learningmachine learninglarge scalesupport vector machineparameter tuningnonlinear SVM
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Uses Software
Cites Work
- Pegasos: primal estimated sub-gradient solver for SVM
- Efficient global optimization of expensive black-box functions
- Support-vector networks
- Cutting-plane training of structural SVMs
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