Event Selection Using Adaptive Gaussian Kernels

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