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An Improved Gradient Projection-based Decomposition Technique for Support Vector Machines

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  • Luca Zanni

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  • Luca Zanni, 2006. "An Improved Gradient Projection-based Decomposition Technique for Support Vector Machines," Computational Management Science, Springer, vol. 3(2), pages 131-145, April.
    • Handle: RePEc:spr:comgts:v:3:y:2006:i:2:p:131-145
    DOI: 10.1007/s10287-005-0004-6
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    References listed on IDEAS

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    1. Joachims, Thorsten, 1998. "Making large-scale SVM learning practical," Technical Reports 1998,28, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
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    Cited by:

    1. Leonardo Galli & Alessandro Galligari & Marco Sciandrone, 2020. "A unified convergence framework for nonmonotone inexact decomposition methods," Computational Optimization and Applications, Springer, vol. 75(1), pages 113-144, January.
    2. S. Camelo & M. González-Lima & A. Quiroz, 2015. "Nearest neighbors methods for support vector machines," Annals of Operations Research, Springer, vol. 235(1), pages 85-101, December.
    3. Valeria Ruggiero & Thomas Serafini & Riccardo Zanella & Luca Zanni, 2010. "Iterative regularization algorithms for constrained image deblurring on graphics processors," Journal of Global Optimization, Springer, vol. 48(1), pages 145-157, September.

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