Improvements on Twin Support Vector Machines

By Yuan-Hai Shao, Chunhua Zhang, Xiaobo Wang, N. Deng. IEEE Transactions on Neural Networks, 2011

466 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/d6fd40509eb2eb0e648f2efe984433fb4303bcd7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ying-jie Tian
2. Yong Shi
3. Zhiquan Qi

In Computer Vision and Pattern Recognition

1. Ying-jie Tian
2. Yong Shi
3. Zhiquan Qi

In Control and Systems Engineering

1. Ying-jie Tian
2. Yong Shi
3. Zhiquan Qi

Citations in the corpus

• Robust twin support vector machine for pattern classification (2013, methodology): “There are only inner products about samples in our dual problems of R-TWSVM, this make us not need to add the other regularization term JuJ2þb(2) [39] for nonlinear case.”