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arXiv · 1707.03191

Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines

Sergio Consoli·Jacek Kustra·Pieter Vos·Monique Hendriks·Dimitrios Mavroeidis
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Abstract

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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Sergio Consoli, Jacek Kustra, Pieter Vos, Monique Hendriks, Dimitrios Mavroeidis. 2017-07-11. Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines. https://arxiv.org/abs/1707.03191

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