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.
2004
88860371309
Quadratic programming; large scale; parallel; support vector machines
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/519906
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