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Found 3 papers, 1 papers with code
Distributed Learning of Mixtures of Experts
We study the statistical and numerical properties for the proposed reduction estimator on experiments that demonstrate its performance compared to namely the global estimator constructed in a centralized way from the full dataset.
Functional mixture-of-experts for classification
We develop a mixtures-of-experts (ME) approach to the multiclass classification where the predictors are univariate functions.
Functional Mixtures-of-Experts
We extend the modeling with Mixtures-of-Experts (ME), as a framework of choice in modeling heterogeneity in data for prediction with vectorial observations, to this functional data analysis context.
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