articleTop 1% cited
Evaluation of simple performance measures for tuning SVM hyperparameters
Neurocomputing · 2003 · Vol. 51 · pp. 41–59
Kai-Bo Duan✉(National University of Singapore)S. Sathiya Keerthi(National University of Singapore)A.N. Poo(National University of Singapore)
Face and Expression RecognitionNeural Networks and ApplicationsBlind Source Separation TechniquesHyperparameterSupport vector machineMargin (machine learning)GeneralizationComputer scienceKernel (algebra)Simple (philosophy)Matrix (chemical analysis)Measure (data warehouse)Mathematics
Funding
- Ford Foundation
- National University of Singapore
Citations
637
FWCI
29.20
field-weighted impact
References
19
Percentile
100%
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References
Bounds on Error Expectation for Support Vector Machines
Neural Computation · 2000 · 622 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
Statistical Learning Theory
Technometrics · 1999 · 26,915 citations
Choosing Multiple Parameters for Support Vector Machines
Machine Learning · 2002 · 2,176 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
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