Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines
July 11, 2017 Β· Declared Dead Β· + Add venue
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Authors
Sergio Consoli, Jacek Kustra, Pieter Vos, Monique Hendriks, Dimitrios Mavroeidis
arXiv ID
1707.03191
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG
Citations
1
Last Checked
4 months ago
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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