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regularized estimation

topic1 events
papersSEP 10 04:00 UTC

Regularized Estimation and Feature Selection in Mixtures of Generalized Linear Experts

A revised arXiv paper studies mixtures of experts, conditional mixture models in which both the mixing weights and component densities depend on predictors. The work develops regularized estimation methods with feature selection for mixtures of generalized linear experts, supporting regression, classification, and model-based clustering of heterogeneous data.

mixture-of-experts/feature-selection/statistics/regression