Domain Decomposed Learning Algorithms and Applications / Jingwei Li.
In machine learning (ML), dimensionality reduction (DR) is a common method to reduce the computational cost, and among the linear DR techniques, principal component analysis (PCA) and linear discriminant analysis (LDA) are widely used for unsupervised and supervised learning. In this thesis, we main...
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| Format: | Thesis Electronic eBook |
| Language: | English |
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Ann Arbor :
ProQuest Dissertations & Theses,
2023
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