Bibliography

Afo20

Bruno Klaus Afonso. Analysis of label noise in graph-based semi-supervised learning. Master’s thesis, Dissertação (Mestrado) - UNIFESP, 2020.

BN03

M. Belkin and P. Niyogi. Using manifold structure for partially labeled classification. Advances in Neural Information Processing Systems, 15:929–936, 2003.

Sou17

Celso Andre Rodrigues de Sousa. Constrained graph-based semi-supervised learning with higher order regularization. PhD thesis, Universidade de São Paulo, 2017.

WJC08

Jun Wang, Tony Jebara, and Shih-Fu Chang. Graph transduction via alternating minimization. Proceedings of the 25th international conference on Machine learning - ICML ‘08, pages 1144–1151, 2008. URL: http://portal.acm.org/citation.cfm?doid=1390156.1390300, doi:10.1145/1390156.1390300.

ZBL+04

Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, and Bernhard Schölkopf. Learning with local and global consistency. In Advances in Neural Information Processing Systems 16, 321–328. MIT Press, 2004.

ZGL03

Xiaojin Zhu, Zoubin Ghahramani, and John Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In Proceedings of the Twentieth International Conference on International Conference on Machine Learning, 912–919. AAAI Press, 2003.