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• SLEP: a sparse learning package for solving L1, L1/Lq, and trace norm regularized problems described in a series of papers:
  • L1: Liu and Ye (2009)
  • L1/Lq: Liu et al. (2009)
  • trace norm: Ji and Ye (2009), Pong et al. (2009)
     
• LR_code.zip: code for the local regularization formulation described in Ji et al. (2009)
  　
• LS_ML.zip: code for the shared-subspace formulation described in Ji et al. (2008)
  　
• DKL: code for the Discriminant Kernel Learning formulations described in Ye et al. (2008)

Data

• protein-data.zip: Multi-class protein fold recognition data set in Weka format, originally from Prof. Chris Ding