Estimation and Feature Selection in High-Dimensional Mixtures-of-Experts Models

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Estimation and Feature Selection in High-Dimensional Mixtures-of-Experts Models

The statistical analysis of heterogeneous and high-dimensional data is being a challenging problem, both from modeling, and inference point of views, especially with the today’s big data phenomenon. This suggests new strategies, particularly in advanced analyses going from density estimation to pred...

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書誌詳細
第一著者:	Huỳnh, Bảo Tuyên
フォーマット:	Doctoral thesis
言語:	English
出版事項:	Caen, France 2023
主題:	Mixture models Mixture of Experts Regularized Estimation Feature Selection Lasso L1-regularization Sparsity EM algorithm MM Algorithm Proximal-Newton Coordinate Ascent Clustering Classification Regression Prediction
オンライン･アクセス:	https://scholar.dlu.edu.vn/handle/123456789/2336
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Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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