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