Training TSVM with the proper number of positive samples

Author:

Wang Ye,Huang Shang-Teng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference9 articles.

1. A progressive transductive inference algorithm based on support vector machine;Chen;J. Software,2003

2. Joachims, T., 1999. Transductive inference for text classification using support vector machines. In: Proc. ICML-99, 16th Internat. Conf. on Machine Learning, pp. 200–209.

3. Joachims, T., 2003. Transductive learning via spectral graph partitioning. In: Proc. Internat. Conf. on Machine Learning (ICML ‘03), pp. 290–297.

4. Fuzzy transductive support vector machines for hypertext classification;Liu;Internat. J. Uncertainty, Fuzziness Knowledge-Based Systems,2004

5. Osuna, E., Freund, R., Girosi, F., 1997. Training support vector machines: An application to face detection. In: Proc. CVPR’97, Puerto Rico, pp. 130–136.

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