RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning

Author:

Berton Lilian,de Paulo Faleiros Thiago,Valejo Alan,Valverde-Rebaza Jorge,de Andrade Lopes Alneu

Funder

São Paulo Research Foundation

CNPq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. X. Zhu, Semi-Supervised Learning Literature Survey, Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison, 2005.

2. Semi-Supervised Learning;Chapelle,2010

3. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006

4. D. Zhou, O. Bousquet, T.N. Lal, J. Weston, B. Scholkopf, Learning with local and global consistency, in: S. Thrun, L.K. Saul, B. Scholkopf (Eds.), Neural Information Processing Systems, MIT Press, 2003.

5. T. Jebara, J. Wang, S.-F. Chang, Graph construction and B-matching for semi-supervised learning, in: Proceedings of the International Conference on Machine Learning, 2009, pp. 441–448.

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