article Open AccessTop 1% cited
Weighted least squares support vector machines: robustness and sparse approximation
Neurocomputing · 2002 · Vol. 48(1-4) · pp. 85–105
Johan A. K. Suykens✉(KU Leuven)Jos De Brabanter(KU Leuven)L. Lukas(KU Leuven)Joos Vandewalle(KU Leuven)
Sparse and Compressive Sensing TechniquesBlind Source Separation TechniquesFace and Expression RecognitionSupport vector machineHessian matrixLeast squares support vector machineOutlierMathematicsMathematical optimizationRobustness (evolution)Least-squares function approximationComputer scienceAlgorithm
Funding
- Fonds Wetenschappelijk Onderzoek
- KU Leuven
- Vlaamse regering
Citations
1,252
FWCI
30.57
field-weighted impact
References
44
Percentile
100%
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References
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Technometrics · 1989 · 6,183 citations
Multilayer feedforward networks are universal approximators
Neural Networks · 1989 · 20,841 citations
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