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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Tác giả chính:	Huỳnh, Bảo Tuyên
Định dạng:	Doctoral thesis
Ngôn ngữ:	English
Được phát hành:	Caen, France 2023
Những chủ đề:	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
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/handle/123456789/2336
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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