A neural network approach to statistical pattern classification by ;semiparametric' estimation of probability density functions.

@article{Traven1991ANN,
  title={A neural network approach to statistical pattern classification by ;semiparametric' estimation of probability density functions.},
  author={H C Traven},
  journal={IEEE transactions on neural networks},
  year={1991},
  volume={2 3},
  pages={366-77}
}
  • H C Traven
  • Published 1991 in IEEE transactions on neural networks
A method for designing near-optimal nonlinear classifiers, based on a self-organizing technique for estimating probability density functions when only weak assumptions are made about the densities, is described. The method avoids disadvantages of other existing methods by parametrizing a set of component densities from which the actual densities are constructed. The parameters of the component densities are optimized by a self-organizing algorithm, reducing to a minimum the labeling of design… CONTINUE READING
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