The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables

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Ambrogioni, Luca; Güçlü, Umut; van Gerven, Marcel A. J.; Maris, Eric;
  • Subject: Statistics - Machine Learning
    acm: ComputingMethodologies_PATTERNRECOGNITION

This paper introduces the kernel mixture network, a new method for nonparametric estimation of conditional probability densities using neural networks. We model arbitrarily complex conditional densities as linear combinations of a family of kernel functions centered at ... View more
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    Radboud University
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