Regularized Mixtures of Experts in High-Dimensional Data
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...
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| Autors principals: | , |
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| Format: | Conference paper |
| Idioma: | English |
| Publicat: |
2023
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| Matèries: | |
| Accés en línia: | https://scholar.dlu.edu.vn/handle/123456789/2335 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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