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 problems on different parallel architectures.
Training Support Vector Machines on Parallel Architectures
ZANGHIRATI, Gaetano
2004
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 problems on different parallel architectures.File in questo prodotto:
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