Advanced support vector machines and kernel methods

By V.David Sánchez A. Neurocomputing, 2003

337 citations recorded by the source corpus.

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SVM Parameter Optimization using Grid Search and Genetic Algorithm to Improve Classification Performance (2016, background): “The SVM algorithm has an advantage that it is not affected by local minima, furthermore it does not suffer from the curse of high dimensionality because of the use of support vectors [6].”
A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms (2018, positive): “Due to the high performance of SVM in classification, various applications widely applied it [4, 33].”
A smart antenna system for direction of arrival estimation based on a support vector regression (2005, methodology): “Moreover, fast iterative algorithms based on the use of SVMs and relatively simple to be implemented, have been developed (see, for example, [12], [13] and the references therein).”