## Polynomial kernel adaptation and extensions to the SVM classifier learning

- Ramy Saad, Saman K. Halgamuge, Jason Li
- Neural Computing and Applications
- 2006

@inproceedings{Askew2004EventSU, title={Event Selection Using Adaptive Gaussian Kernels}, author={A. J. Askew and Heli Miettinen and B. Paul Padley}, year={2004} }

- Published 2004

The Probability Density Estimation method is a technique that uses Kernel Density Estimation techniques to derive a discriminate function which an be used for event selection. This approach has the advantage of handling complex dependencies in data without using the ‘black box’ approach of neural networks. We present a new variant of the Probability Density… CONTINUE READING

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