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Manifold Regularization Classification Model Based On Improved Diffusion Map

By Hongfu Guo and others
Manifold regularization model is a semi-supervised learning model that leverages the geometric structure of a dataset, comprising a small number of labeled samples and a large number of unlabeled samples, to generate classifiers. However, the original manifold norm limits the performance of models to local regions. To address this limitation,... Show more
March 24, 2024
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