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-Norm of Weight Vector and Leads to Sparse Connectivity.

Vladimir Aparin
Published in: Neural Comput. (2012)
Keyphrases
  • weight vector
  • objective function
  • learning rate
  • linear combination
  • hyperplane
  • loss function
  • support vector machine
  • data sets
  • image registration
  • sparse representation