Search Results - "Non-convex optimization algorithms"

How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms

Authors: Jacques Wainer Pablo Fonseca

Source: Artificial Intelligence Review. 54:4771-4797

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computation time, SVM, Machine Learning (stat.ML), 02 engineering and technology, Learning algorithms, 01 natural sciences, Classification algorithm, Simulated annealing, Machine Learning (cs.LG), Empirical evaluations, Statistics - Machine Learning, Non-convex optimization algorithms, Random search, 0202 electrical engineering, electronic engineering, information engineering, Grid search, 0101 mathematics, Bayesian optimization, Hyperparameters, Parzen estimators, Support vector machines, Classification (of information), Search Algorithms, Convex optimization, Nonconvex optimization, Computational effort, Particle swarm optimization (PSO)

Access URL: http://arxiv.org/pdf/2008.11655
http://arxiv.org/abs/2008.11655
https://link.springer.com/article/10.1007/s10462-021-10011-5
https://doi.org/10.1007/s10462-021-10011-5
https://dblp.uni-trier.de/db/journals/air/air54.html#WainerF21
https://repositorio.upch.edu.pe/handle/20.500.12866/9838?show=full&locale-attribute=es