Author

B. Huynh

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#machine learning Preprint Jul 2019

Regularized Estimation and Feature Selection in Mixtures of Generalized Linear Experts

This work proposes a regularized maximum likelihood framework for simultaneous parameter estimation and feature selection in MoE whose experts belong to the generalized linear model family, covering Gaussian, Poisson and multinomial responses within a single formulation.

Thin Nguyen-Van, Faicel Chamroukhi, Ha Hoang Van et al. · 15 citations