公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2017 | Selection of Negative Samples for One-class Matrix Factorization. | Yu, Hsiang-Fu; Bilenko, Mikhail; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. | 0 | 0 | |
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 | Wu, Soon-Yi; Fang, Shu-Cherng; Lin, Chih-Jen; CHIH-JEN LIN | Annals of Operations Research | 4 | 4 | |
2001 | Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme | Fang, Shu-Cherng; Lin, Chih-Jen; Wu, Soon-Yi; CHIH-JEN LIN | Journal of Computational and Applied Mathematics | 17 | 15 | |
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; Lin C.; CHIH-JEN LIN | IEEE Transactions on Neural Networks and Learning Systems | 3 | 6 | |
2017 | A study on trust region update rules in Newton methods for large-scale linear classification | Hsia C.-Y; Zhu Y; Lin C.-J.; CHIH-JEN LIN | Journal of Machine Learning Research | 11 | | |
2015 | Subsampled Hessian Newton methods for supervised learning | Wang, C.-C.; Huang, C.-C.; Lin, C.-J.; CHIH-JEN LIN | Neural Computation | 12 | 10 | |
2014 | Support vector machines | Wang, P.-W.; Lin, C.-J.; CHIH-JEN LIN | Data Classification: Algorithms and Applications | 22 | 0 | |
2004 | Support vector machines for data classification | Lin, Chih-Jen | | | | |
2004 | Support vector machines for data classification and regression | Lin, Chih-Jen | | | | |
2014 | Support Vector Machines. | Wang, Po-Wei; Lin, Chih-Jen; CHIH-JEN LIN | Data Classification: Algorithms and Applications | | | |
2008 | SVM 在結構資料上的應用 (新制多年期第1年) | 林智仁 | | | | |
2007 | SVM 在結構資料上的應用 (新制多年期第2年) | 林智仁 | | | | |
2000 | The analysis of decomposition methods for support vector machines | Chang, Chih-Chung; Hsu, Chih-Wei; Lin, Chih-Jen; CHIH-JEN LIN | IEEE Transactions on Neural Networks | 134 | 111 | |