Discriminative training via minimization of risk estimates based on Parzen smoothing

@article{McDermott2006DiscriminativeTV,
  title={Discriminative training via minimization of risk estimates based on Parzen smoothing},
  author={Erik McDermott and Shigeru Katagiri},
  journal={Applied Intelligence},
  year={2006},
  volume={25},
  pages={37-57}
}
We describe a new approach to estimating classification risk in the domain of a suitably defined transformation that can be used as the basis for optimization of generic pattern recognition systems, including hidden Markov models and Multi-Layer Perceptrons. The two formulations of risk estimate described here are closely tied to the Minimum Classification… CONTINUE READING