公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2005 | Combining svms with various feature selection strategies | Chen, Yi-Wei; Lin, Chih-Jen | | | | |
2019 | The common-directions method for regularized empirical risk minimization | Wang, P.-W.; Lee, C.-P.; CHIH-JEN LIN | Journal of Machine Learning Research | | | |
2013 | Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis | Liu H.-C.; Peng P.-C.; Hsieh T.-C.; Yeh T.-C.; Lin C.-J.; Chen C.-Y.; Hou J.-Y.; Shih L.-Y.; CHIH-JEN LIN ; CHIEN-YU CHEN | IEEE/ACM Transactions on Computational Biology and Bioinformatics | 17 | 12 | |
2002 | A comparison of methods for multiclass support vector machines | Hsu, C.-W.; CHIH-JEN LIN | IEEE Transactions on Neural Networks | | | |
2008 | Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines- | Chang, Kai-Wei; Hsieh, Cho-Jui; Lin, Chih-Jen | The Journal of Machine Learning Research | | | |
2008 | Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods | Liu, Hsi-Che; CHIEN-YU CHEN ; Liu, Yu-Ting; Chu, Cheng-Bang; Liang, Der-Cherng; Shih, Lee-Yung; CHIH-JEN LIN | Journal of Biomedical Informatics | 20 | 18 | |
2009 | Decomposition algorithm model for singly linearly-constrained problems subject to lower and upper bounds | CHIH-JEN LIN ; Lin, C.J.; Lucidi, S.; Palagi, L.; Risi, A.; Sci; rone, M.; CHIH-JEN LIN | Journal of Optimization Theory and Applications | | | |
2004 | Decomposition Methods for Linear Support Vector
Machines | Kao, Wei-Chun; Chung, Kai-Min; Sun, Chia-Liang; Lin, Chih-Jen | | | | |
2004 | Decomposition methods for linear support vector machines | CHIH-JEN LIN ; Kao, Wei-Chun; Chung, Kai-Min; Sun, Chia-Liang; CHIH-JEN LIN | Neural Computation | | | |
Apr | Decomposition methods for linear support vector machines | Chung, Kai-Min; Kao, Wei-Chun; Sun, Tony; Lin, Chih-Jen | 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing | | | |
2003 | Decomposition methods for linear support vector machines. | Chung, Kai-Min; Kao, Wei-Chun; Sun, Tony; CHIH-JEN LIN | 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003 | | | |
2013 | Dense Non-rigid Point-Matching Using Random Projections. | Hamid, Raffay; DeCoste, Dennis; CHIH-JEN LIN | 2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013 | 11 | 0 | |
2008 | Derivation of embryonic stem cell by nuclear transfer using cryopreserved eggs | Chang, Ching-Chien; Sung, Li-Ying ; Amano, Tomokazu; Amano, Misa; Lin, Chih-Jen ; Nagy, Zsolt Peter; Xu, Jie; Tian, Xiuchun Cindy; Yang, Xiangzhong | Biology of Reproduction | | | |
2010 | Designing, Analyzing and Exploiting Stake-Based Social Networks. | Kuo, Tsung-Ting; Yeh, Jung-Jung; Lin, Chih-Jen; SHOU-DE LIN ; CHIH-JEN LIN | International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2010, Odense, Denmark, August 9-11, 2010 | 1 | 0 | |
2018 | Distributed Newton methods for deep neural networks | Wang, C.-C.; Tan, K.L.; Chen, C.-T.; Lin, Y.-H.; Keerthi, S.S.; Mahajan, D.; Sundararajan, S.; CHIH-JEN LIN | Neural Computation | | | |
2015 | Distributed Newton methods for regularized logistic regression | Zhuang, Y.; Chin, W.-S.; Juan, Y.-C.; CHIH-JEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | | | |
2015 | Distributed Newton Methods for Regularized Logistic Regression. | Zhuang, Yong; Chin, Wei-Sheng; Juan, Yu-Chin; CHIH-JEN LIN | Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II | | | |
2008 | A dual coordinate descent method for large-scale linear SVM. | Hsieh, Cho-Jui; Chang, Kai-Wei; Lin, Chih-Jen; Keerthi, S. Sathiya; Sundararajan, S.; CHIH-JEN LIN | Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 | | | |
2011 | Dual coordinate descent methods for logistic regression and maximum entropy models | CHIH-JEN LIN ; Yu, H.-F.; Huang, F.-L.; CHIH-JEN LIN | Machine Learning | | | |
2020 | Dual coordinate-descent methods for linear one-class SVM and SVDD | Chou, H.-Y.; Lin, P.-Y.; CHIH-JEN LIN | Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020 | | | |