Accelerated Gradient Method for Multi-task Sparse Learning Problem

  title={Accelerated Gradient Method for Multi-task Sparse Learning Problem},
  author={Xi Chen and Weike Pan and James T. Kwok and Jaime G. Carbonell},
  journal={2009 Ninth IEEE International Conference on Data Mining},
Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than learning each task individually. The feature selection problem in multi-task setting has many applications in fields of computer vision, text classification and bio-informatics. Generally, it can be realized by solving a L-1-infinity regularized optimization problem. And the solution automatically yields the joint… CONTINUE READING
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