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  • Title: An empirical evaluation of the fuzzy kernel perceptron.
    Author: Cawley GC.
    Journal: IEEE Trans Neural Netw; 2007 May; 18(3):935-7. PubMed ID: 17526361.
    Abstract:
    J.-H. Chen and C.-S. Chen have recently proposed a nonlinear variant of Keller and Hunt's fuzzy perceptron algorithm, based on the now familiar "kernel trick." In this letter, we demonstrate experimentally that J.-H. Chen and C.-S. Chen's assertion that the fuzzy kernel perceptron (FKP) outperforms the support vector machine (SVM) cannot be sustained. A more thorough model comparison exercise, based on a much wider range of benchmark data sets, shows that the FKP algorithm is not competitive with the SVM.
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