no code implementations • 24 Mar 2024 • Hongfu Guo, Wencheng Zou, Zeyu Zhang, Shuishan Zhang, Ruitong Wang, Jintao Zhang
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.
