New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine-Reference-Cited by-同舟云学术

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine

Published:2018-07-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Gu Bin¹,Yuan Xiao-Tong²,Chen Songcan³,Huang Heng¹

Affiliation:

1. University of Pittsburgh, Pittsburgh, PA, USA

2. Nanjing University of Information Science &Technology, Nanjing, China

3. Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Science Foundation

National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3219819.3220092

Reference27 articles.

1. Training a Support Vector Machine in the Primal

2. A continuation method for semi-supervised SVMs

3. Olivier Chapelle Vikas Sindhwani and S Sathiya Keerthi. 2007. Branch and bound for semi-supervised support vector machines. In Advances in neural information processing systems. 217--224. Olivier Chapelle Vikas Sindhwani and S Sathiya Keerthi. 2007. Branch and bound for semi-supervised support vector machines. In Advances in neural information processing systems. 217--224.

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