Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms

    Alfonso Rojas Domínguez
    Alfonso Rojas Domínguez
    Rosario Baltazar
    Rosario Baltazar

    Nature-Inspired Design of Hybrid Intelligent Systems, pp. 787-800, 2017.

    Cited by: 2|Bibtex|Views4|Links
    EI

    Abstract:

    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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