公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2003 | Radius Margin Bounds for Support Vector Machines with the RBF Kernel | CHIH-JEN LIN ; Chung, Kai-Min; Kao, Wei-Chun; Sun, Chia-Liang; Wang, Li-Lun; CHIH-JEN LIN | Neural Computation | | | |
2002 | Radius margin bounds for support vector machines with the RBF kernel | Chung, K.-M.; Kao, W.-C.; Sun, T.; Wang, L.-L.; CHIH-JEN LIN | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age | | | |
2008 | Ranking individuals by group comparisons | CHIH-JEN LIN ; Huang, T.-K.; Lin, C.-J.; Weng, R.C.; CHIH-JEN LIN | Journal of Machine Learning Research | | | |
2006 | Ranking individuals by group comparisons. | Huang, Tzu-Kuo; Lin, Chih-Jen; CHIH-JEN LIN | Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 | 7 | 0 | |
2012 | Recent advances of large-scale linear classification | CHIH-JEN LIN ; Yuan, G.-X.; Ho, C.-H.; CHIH-JEN LIN | Proceedings of the IEEE | | | |
1998 | Relaxed cutting plane method for solving linear semi-infinite programming problems | CHIH-JEN LIN ; Wu, S.Y.; Fang, S.C.; CHIH-JEN LIN | Journal of Optimization Theory and Applications | | | |
2003 | A robust evolutionary algorithm for global optimization | Yang, J. M; CHIH-JEN LIN ; Kao, C. Y. | Engineering Optimization | 3 | 3 | |
2017 | Selection of Negative Samples for One-class Matrix Factorization. | Yu, Hsiang-Fu; Bilenko, Mikhail; CHIH-JEN LIN | Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. | | | |
2008 | A sequential dual method for large scale multi-class linear svms. | Keerthi, S. Sathiya; Sundararajan, S.; Chang, Kai-Wei; Hsieh, Cho-Jui; CHIH-JEN LIN | Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008 | 115 | 0 | |
2002 | A Simple Decomposition Method for Support Vector Machines | Hsu, Chih-Wei; Lin, Chih-Jen | Machine Learning | | | |
2004 | Simple Probabilistic Predictions for Support Vector Regression | Lin, Chih-Jen ; Weng, Ruby-C. | | | | |
2001 | Solving General Capacity Problem by Relaxed Cutting Plane Approach | CHIH-JEN LIN ; Wu, Soon-Yi; Fang, Shu-Cherng; CHIH-JEN LIN | Annals of Operations Research | | | |
2001 | Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme | CHIH-JEN LIN ; Fang, Shu-Cherng; Lin, Chih-Jen; Wu, Soon-Yi; CHIH-JEN LIN | Journal of Computational and Applied Mathematics | | | |
2004 | Some Thoughts on Machine Learning Software Design | Lin, Chih-Jen | | | | |
2003 | Special issue on support vector machines | Campbell, C.; Lin, C.-J.; Keerthi, S.S.; CHIH-JEN LIN | Neurocomputing | 5 | 1 | |
2013 | A study on L2-loss (Squared Hinge-Loss) multiclass SVM | Lee, C.-P.; CHIH-JEN LIN | Neural Computation | 55 | 46 | |
2005 | a study on sigmoid kernels for svm and the training of non-psd | Lin, Hsuan-Tien ; Lin, Chih-Jen | | | | |
2021 | A Study on Truncated Newton Methods for Linear Classification | Galli L.; CHIH-JEN LIN | IEEE Transactions on Neural Networks and Learning Systems | | | |
2017 | A study on trust region update rules in Newton methods for large-scale linear classification | Hsia C.-Y; Zhu Y.; CHIH-JEN LIN | Journal of Machine Learning Research | | | |
2015 | Subsampled Hessian Newton methods for supervised learning | CHIH-JEN LIN ; Wang, C.-C.; Huang, C.-C.; CHIH-JEN LIN | Neural Computation | | | |