Laplacian Welsch Regularization for Robust Semisupervised Learning
IEEE Transactions on Cybernetics(2022)
摘要
Semisupervised learning (SSL) has been widely used in numerous practical applications where the labeled training examples are inadequate while the unlabeled examples are abundant. Due to the scarcity of labeled examples, the performances of the existing SSL methods are often affected by the outliers in the labeled data, leading to the imperfect trained classifier. To enhance the robustness of SSL ...
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关键词
Robustness,Laplace equations,Optimization,Manifolds,Computational modeling,Training,Semisupervised learning
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