Evolutionary tuning of multiple SVM parameters
Top Cited Papers
- 7 January 2005
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 64, 107-117
- https://doi.org/10.1016/j.neucom.2004.11.022
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Evolutionary Optimization of Neural Systems: The Use of Strategy AdaptationPublished by Springer Nature ,2005
- Feature selection for support vector machines by means of genetic algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Analysis of Proteomic Pattern Data for Cancer DetectionPublished by Springer Nature ,2004
- Radius Margin Bounds for Support Vector Machines with the RBF KernelNeural Computation, 2003
- Model selection for support vector machine classificationNeurocomputing, 2003
- Genetic Algorithms and Support Vector Machines for Time Series ClassificationPublished by SPIE-Intl Soc Optical Eng ,2002
- Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithmsIEEE Transactions on Neural Networks, 2002
- Evolution strategies – A comprehensive introductionNatural Computing, 2002
- Choosing Multiple Parameters for Support Vector MachinesMachine Learning, 2002
- Completely Derandomized Self-Adaptation in Evolution StrategiesEvolutionary Computation, 2001