1. A Simpler Approach to Coefficient Regularized Support Vector Machines Regression. (26th May 2014) Authors: Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong Other Names: Teschke Gerd Academic Editor. Journal: Abstract and applied analysis Issue: Volume 2014(2014) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Calibration of ϵ−insensitive loss in support vector machines regression. Issue 4 (March 2019) Authors: Tong, Hongzhi; Ng, Michael K. Journal: Journal of the Franklin Institute Issue: Volume 356:Issue 4(2019) Page Start: 2111 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Distributed least squares prediction for functional linear regression*This work was partially supported by the National Natural Science Foundation of China (Grant No. 11871438). (23rd December 2021) Authors: Tong, Hongzhi Journal: Inverse problems Issue: Volume 38:Number 2(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Learning Rates for l1-Regularized Kernel Classifiers. (17th November 2013) Authors: Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong Other Names: Gao Huijun Academic Editor. Journal: Journal of applied mathematics Issue: Volume 2013(2013) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Support vector machines regression with unbounded sampling. Issue 9 (4th July 2019) Authors: Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong Journal: Applicable analysis Issue: Volume 98:Issue 9(2019) Page Start: 1626 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗