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Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering.

IJCNN, pp.1-8, (2018)

Cited by: 1|Views13
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Abstract

Mixture of experts (MoE) models are successful neural-network architectures for modeling heterogeneous data in many machine learning problems including regression, clustering and classification. The model learning is in general performed by maximum likelihood estimation (MLE). For high-dimensional data, a regularization is needed in order...More

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Bao Tuyen Huynh
Bao Tuyen Huynh
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