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Search schemes for random optimization algorithms that preserve the asymptotic distribution
(Applied Probability Trust, 1999-09-01)
Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Omega subset of R-d are presented. Conditions on the search schemes that preserve the asymptotic distribution ...
Search schemes for random optimization algorithms that preserve the asymptotic distribution
(Applied Probability Trust, 1999-09-01)
Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Omega subset of R-d are presented. Conditions on the search schemes that preserve the asymptotic distribution ...
Search schemes for random optimization algorithms that preserve the asymptotic distribution
(1999-01-01)
Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Ω ⊂ ℝd are presented. Conditions on the search schemes that preserve the asymptotic distribution are derived. ...
Search schemes for random optimization algorithms that preserve the asymptotic distribution
(1999-01-01)
Markovian algorithms for estimating the global maximum or minimum of real valued functions defined on some domain Ω ⊂ ℝd are presented. Conditions on the search schemes that preserve the asymptotic distribution are derived. ...
Search schemes for random optimization algorithms that preserve the asymptotic distribution
(Applied Probability Trust, 2014)
How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
(Springer, 2021)
SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general, the selection of the hyperparameters ...
Intelligent gravitational search random forest algorithm for fake news detection
(World Scientific, 2022-01-01)
Online social media has made the process of disseminating news so quick that people have shifted their way of accessing news from traditional journalism and press to online social media sources. The rapid rotation of news ...
Effectiveness of Random Search in SVM hyper-parameter tuning
(Ieee, 2015-01-01)
Classification is one of the most common machine learning tasks. SVMs have been frequently applied to this task. In general, the values chosen for the hyper-parameters of SVMs affect the performance of their induced ...