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@article{Nelson2006SignalTF, title={Signal Theory for SVM Kernel Parameter Estimation}, author={J. Nelson and R. I. Damper and S. Gunn and Baofeng Guo}, journal={2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing}, year={2006}, pages={149-154} }

- Published 2006 in 2006 16th IEEE Signal Processing Society Workshop…

Fourier-based regularisation is considered for the support vector machine classification problem over absolutely integrable loss functions. By invoking the modest assumption that the decision function belongs to a Paley-Wiener space, it is shown that the classification problem can be developed in the context of signal theory. Furthermore, by employing the… CONTINUE READING

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