Fast Graph-based Binary Classifier Learning via Further Relaxation of Semi-Definite Relaxation

Author:

Li Xiao1,Yang Cheng1,Tong Weilin1,Shi Fangyu1,Zhai Guangtao1

Affiliation:

1. SEIEE, Shanghai Jiao Tong University, China

Funder

China Postdoctoral Science Foundation

Multicenter study on accurate evaluation and prediction of Neurodevelopmental retardation in preterm infants (grant name: Clinical Research Plan of SHDC))

National Natural Science Foundation of China

Publisher

ACM

Reference47 articles.

1. Zhou , D. ; Bousquet , O. ; Lal , T. N. ; Weston , J. ; and Scholkopf , B . 2003. Learning with local and global consistency . In 16th International Conference on Neural Information Processing (NIPS) . Whistler, Canada. Zhou, D.; Bousquet, O.; Lal, T. N.; Weston, J.; and Scholkopf, B. 2003. Learning with local and global consistency. In 16th International Conference on Neural Information Processing (NIPS). Whistler, Canada.

2. Belkin M. ; Matveeva I. ; and Niyogi P . 2004 . Regularization and semi-supervised learning on large graphs. In Shawe-Taylor J. Singer Y. (eds) Learning Theory COLT 2004 Lecture Notes in Computer Science volume 3120 624–638. Belkin M.; Matveeva I.; and Niyogi P. 2004. Regularization and semi-supervised learning on large graphs. In Shawe-Taylor J. Singer Y. (eds) Learning Theory COLT 2004 Lecture Notes in Computer Science volume 3120 624–638.

3. Guillory , A. ; and Bilmes , J . 2009 . Label Selection on Graphs. In Twenty-Third Annual Conference on Neural Information Processing Systems . Vancouver, Canada. Guillory, A.; and Bilmes, J. 2009. Label Selection on Graphs. In Twenty-Third Annual Conference on Neural Information Processing Systems. Vancouver, Canada.

4. Bishop , C. M. 2006. Pattern Recognition and Machine Learning (Information Science and Statistics) . Berlin, Heidelberg : Springer-Verlag . ISBN 0387310738. Bishop, C. M. 2006. Pattern Recognition and Machine Learning (Information Science and Statistics). Berlin, Heidelberg: Springer-Verlag. ISBN 0387310738.

5. Semidefinite Relaxation of Quadratic Optimization Problems

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