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, T., G., Z., Zanni, L. - In: Science and Supercomputing at CINECA, Report 2003STAMPA. - Casalecchio di Reno (Bologna) : CINECA, 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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