article Open AccessTop 1% cited
Choosing Multiple Parameters for Support Vector Machines
Machine Learning · 2002 · Vol. 46(1-3) · pp. 131–159
Olivier Chapelle✉(Laboratoire de Recherche en Informatique de Paris 6)Vladimir Vapnik(AT&T (United States))Olivier Bousquet(École Polytechnique)Sayan Mukherjee(IIT@MIT)
Neural Networks and ApplicationsFace and Expression RecognitionImage Retrieval and Classification TechniquesGeneralizationSupport vector machineComputer scienceArtificial intelligenceGeneralization errorPattern recognition (psychology)Gradient descentSet (abstract data type)MathematicsAlgorithm
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References
Soft Margins for AdaBoost
Machine Learning · 2001 · 1,298 citations
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring
Science · 1999 · 11,587 citations
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
Support-vector networks
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