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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主要な著者: | , |
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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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Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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