Massively parallelized support vector machines based on GPU-accelerated multiplicative updates

Abstract

In this paper, we present multiple parallelized support vector machines (MPSVMs), which aims to deal with the situation when multiple SVMs are required to be performed concurrently. The proposed MPSVM is based on an optimization procedure for nonnegative quadratic programming (NQP), called multiplicative updates. By using graphical processing units (GPUs… (More)
DOI: 10.1109/CIDM.2014.7008700

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Cite this paper

@article{Kou2014MassivelyPS, title={Massively parallelized support vector machines based on GPU-accelerated multiplicative updates}, author={Connie Khor Li Kou and Chao-Hui Huang}, journal={2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)}, year={2014}, pages={431-438} }