Tuning Support Vector Machines by Iterated Local Search

نویسندگان

  • Sergio Consoli
  • Jacek Kustra
  • Pieter Vos
  • Monique Hendriks
  • Dimitrios Mavroeidis
چکیده

We provide preliminary details and formulation of an optimization strategy under current development that is able to automatically tune the parameters of a Support Vector Machine over new datasets. The optimization strategy is a heuristic based on Iterated Local Search, a modification of classic hill climbing which iterates calls to a local search routine.

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تاریخ انتشار 2017