The parallel solution of the large quadratic programming problem arising in training support vector machines is analysed. Some improvements to a recent decomposition technique are discussed. The effectiveness of the proposed approach is evaluated by solving large-scale benchmark problemson different parallel architectures.
Training Support Vector Machines on Parallel Architectures / Serafini, Thomas; G., Zanghirati; Zanni, Luca. - STAMPA. - (2003), pp. 391-394.
Training Support Vector Machines on Parallel Architectures
SERAFINI, Thomas;ZANNI, Luca
2003
Abstract
The parallel solution of the large quadratic programming problem arising in training support vector machines is analysed. Some improvements to a recent decomposition technique are discussed. The effectiveness of the proposed approach is evaluated by solving large-scale benchmark problemson different parallel architectures.
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