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Evolutionary tuning of multiple SVM parameters

Neurocomputing · 2005 · Vol. 64 · pp. 107–117
Frauke FriedrichsChristian Igel
Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms ResearchNeural Networks and ApplicationsHyperparameterHyperparameter optimizationComputer scienceKernel (algebra)Support vector machineParameterized complexityArtificial intelligenceCMA-ESKernel methodRadial basis function kernel
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505
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42.59
field-weighted impact
References
34
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100%
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References
Soft Margins for AdaBoost
Machine Learning · 2001 · 1,298 citations
Evolving artificial neural networks
Proceedings of the IEEE · 1999 · 2,977 citations
Choosing Multiple Parameters for Support Vector Machines
Machine Learning · 2002 · 2,176 citations
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