Sparse Principal Component Analysis (sparse PCA) represents a significant advance in the field of dimensionality reduction for high-dimensional data. Unlike conventional Principal Component Analysis ...
This is a preview. Log in through your library . Abstract In this paper, we study high-dimensional sparse Quadratic Discriminant Analysis (QDA) and aim to establish ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
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