Least Squares Support Vector Machines
Johan A. K. Suykens(KU Leuven), Tony Van Gestel(KU Leuven), Jos De Brabanter(KU Leuven), Bart De Moor(KU Leuven), Joos Vandewalle(KU Leuven)
Cited by 3,637
Abstract
Support Vector Machines Basic Methods of Least Squares Support Vector Machines Bayesian Inference for LS-SVM Models Robustness Large Scale Problems LS-SVM for Unsupervised Learning LS-SVM for Recurrent Networks and Control.
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