Papers › Classifier Weighted Mixture models
Classifier Weighted Mixture models
Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer
This paper proposes an extension of standard mixture stochastic models, by replacing the constant mixture weights with functional weights defined using a classifier. Classifier Weighted Mixtures enable straightforward density evaluation, explicit sampling, and enhanced expressivity in variational estimation problems, without increasing the number of components nor the complexity of the mixture components.
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