jiayuzhou/MALSAR


Multi-task learning via Structural Regularization

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  • Updated at: 2020-02-01 22:30:52

MALSAR: Multi-task learning via Structural Regularization

The MALSAR (Multi-tAsk Learning via StructurAl Regularization) package includes the following multi-task learning algorithms:

  • Mean-Regularized Multi-Task Learning
  • Multi-Task Learning with Joint Feature Selection
  • Robust Multi-Task Feature Learning
  • Trace-Norm Regularized Multi-Task Learning
  • Alternating Structural Optimization
  • Incoherent Low-Rank and Sparse Learning
  • Robust Low-Rank Multi-Task Learning
  • Clustered Multi-Task Learning
  • Multi-Task Learning with Graph Structures
  • Disease Progression Models
  • Incomplete Multi-Source Fusion (iMSF)
  • Multi-Stage Multi-Source Fusion
  • Multi-Task Clustering
  • Multi-Task Calibration

If you have any questions regarding MALSAR, please contact Jiayu Zhou at jiayu.zhou@asu.edu.