Semi-supervised Learning by Maximizing Smoothness

Keywords

Semi-supervised learning, Labeled data, Smoothness, Support vector machine, Artificial intelligence

References

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Cited by

• Rates of convergence for Laplacian semi-supervised learning with low labeling ratesJeff Calder, Dejan Slepčev, Matthew Thorpe — 2020
• Computational Science – ICCS 2018International Conference on Computational Science 2018 Wuxi, Yong Shi, Haohuan Fu — 2018
• Vicinal Gaussian Transform: Rethinking Source-Free Domain Adaptation Through Source-Informed Label ConsistencyJing Wang, Yongchao Xu, Jing Tang — 2025
• Kernel Extreme Learning Machine for Learning from Label ProportionsHao Yuan, Bo Wang, Lingfeng Niu — 2018
• Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric LearningS. Okada, T. Nishida — 2010
• The Calculus of variationsJeff Calder — 2019

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