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|Title:||Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms|
Support vector machines (SVMs)
|Citation:||Keerthi, S.S. (2002-09). Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms. IEEE Transactions on Neural Networks 13 (5) : 1225-1229. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2002.1031955|
|Abstract:||Various implementation issues associated with the tuning of hyperparameters for the SVM l2 soft margin problem was studied, by minimizing the radius/margin criterion and employing iterative techniques for obtaining radius and margin. The experiments indicated the usefulness of the radius/margin criterion and the associated implementation. The extension of the implementation to the simultaneous tuning of many other hyperparameters was also discussed.|
|Source Title:||IEEE Transactions on Neural Networks|
|Appears in Collections:||Staff Publications|
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