Regularised maximum-likelihood inference of mixture of experts for regression and clustering

Variable selection is fundamental to high-dimensional statistical modeling, and is challenging in particular in unsupervised modeling, including mixture models. We propose a regularised maximumlikelihood inference of the Mixture of Experts model which is able to deal with potentially correlated feat...

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書誌詳細
主要な著者: Huỳnh, Bảo Tuyên, Faicel, Chamroukhi
フォーマット: Conference paper
言語:English
出版事項: Bruges (Belgium) 2023
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オンライン・アクセス:https://scholar.dlu.edu.vn/handle/123456789/2334
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