Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms
Nature-Inspired Design of Hybrid Intelligent Systems, pp. 787-800, 2017.
Hyper-parameter tuning for support vector machines has been widely studied in the past decade. A variety of metaheuristics, such as Genetic Algorithms and Particle Swarm Optimization have been considered to accomplish this task. Notably, exhaustive strategies such as Grid Search or Random Search continue to be implemented for hyper-parame...More
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