论文信息 - Reduced twin support vector regression

Reduced twin support vector regression

We propose the reduced twin support vector regressor (RTSVR) that uses the notion of rectangular kernels to obtain significant improvements in execution time over the twin support vector regressor (TSVR), thus facilitating its application to larger sized datasets.

[1] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.

[2] K. Schittkowski,et al. NONLINEAR PROGRAMMING , 2022 .

[3] Xinjun Peng,et al. TSVR: An efficient Twin Support Vector Machine for regression , 2010, Neural Networks.

[4] Ichiro Takeuchi,et al. Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method , 2010, Neural Networks.

[5] Robert A. Lordo,et al. Learning from Data: Concepts, Theory, and Methods , 2001, Technometrics.

[6] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.

[7] Reshma Khemchandani,et al. Twin Support Vector Machines for Pattern Classification , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8] Yuh-Jye Lee,et al. RSVM: Reduced Support Vector Machines , 2001, SDM.

[9] O. Mangasarian,et al. Massive data discrimination via linear support vector machines , 2000 .

[10] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .