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Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models

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Abstract

Mixture of experts (MoE) models are widely applied for conditional probability density estimation problems. We demonstrate the richness of the class of MoE models by proving denseness results in Lebesgue spaces, when inputs and outputs variables are both compactly supported. We further prove an almost uniform convergence result when the...More

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Hien Duy Nguyen
Hien Duy Nguyen
TrungTin Nguyen
TrungTin Nguyen
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