Dr. Haiqin Yang (楊海欽博士)

Toolboxes

List

Details

  • Tri-Class Support Vector Machines

    • This package is a set of Matlab scripts and demo video that implements the Tri-Class Support Vector Machines.

    • Download: Ver 0.94c

    • How to use? You can run the demo in Matlab by typing: demo_3CSVM

    • Note

      • In 3CSVM, we suggest you to download Mosek as the QP solver. Otherwise, you may see the following warnings and cannot attain results as we provided.

        • Warning: Name is nonexistent or not a directory: xxx.

        • Warning: Large-scale algorithm does not currently solve this problem formulation, using a medium-scale algorithm instead.

        • Warning: xxx not found in path.

  • Boosting Response Aware Model-Based Collaborative Filtering

    • This package is written in C for the paper, Boosting Response AwareModel-Based Collaborative Filtering, IEEE TKDE, 2015.

    • Download: Codes

  • Online Learning for Multi-task Feature Selection

    • This package is a set of Matlab scripts for the paper, Online Learning forMulti-Task Feature Selection.

    • Download: Codes

  • Generalized Multiple Kernel Learning

    • This package is a set of Matlab scripts for the paper, Generalized Multiple Kernel Learning, IEEE TNNLS, 2013

    • Download: Codes

  • Online Learning for Group Lasso

    • This package is a set of Matlab scripts for the paper, Online Learning for Group Lasso, ICML’10.

    • Download: Codes

  • Localized Support Vector Regression

    • This package is a set of Matlab scripts for the paper, Localized Support Vector Regression, Neurocomputing, 2009.

    • Download: Codes

  • MEMPM and BMPM

    • This package is a set of Matlab scripts for the paper, The Minimum Error Minimax Probability Machine, Journal of Machine Learning Research, 2004.

    • Download: MEMPM-1.0, BMPM-1.0