公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
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 | |
2007 | The NTU toolkit and framework for high-level feature detection at TRECVID 2007 | Weng, M.-F.; Chen, C.-K.; Yang, Y.-H.; Fan, R.-E.; Hsieh, Y.-T.; Chunag, Y.-Y.; Hsu, W.H.; Lin, C.-J.; CHIH-JEN LIN | 2007 TREC Video Retrieval Evaluation Notebook Papers | | | |
1995 | Timing-Driven Test Point Insertion for Full-Scan and Partial-Scan BIST. | Cheng, Kwang-Ting; Lin, Chih-Jen; CHIH-JEN LIN | Proceedings IEEE International Test Conference 1995, Driving Down the Cost of Test, Washington, DC, USA, October 21-25, 1995 | 0 | 0 | |
2010 | Training and Testing Low-degree Polynomial Data Mappings via Linear SVM | Chang, Yin-Wen; Hsieh, Cho-Jui; Chang, Kai-Wei; Ringgaard, Michael; Lin, Chih-Jen | Journal of Machine Learning Research | | | |
2005 | Training Support Vector Machines via SMO-Type Decomposition Methods. | Chen, Pai-Hsuen; Fan, Rong-En; Lin, Chih-Jen; CHIH-JEN LIN | Algorithmic Learning Theory, 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings | 6 | 0 | |
2001 | Training v-Support Vector Classifiers: Theory and Algorithms | Chang, Chih-Chung; Lin, Chih-Jen | Neural Computation | | | |
2002 | Training v-support vector regression: Theory and algorithms | Chang, Chih-Chung; Lin, Chih-Jen | Neural Computation | 274 | 230 | |
2001 | Training ν-support vector classifiers: Theory and algorithms | Chang, C.-C.; Lin, C.-J.; CHIH-JEN LIN | Neural Computation | 417 | 342 | |
2008 | Trust region Newton method for large-scale logistic regression | Lin, C.-J.; Weng, R.C.; Sathiya Keerthi, S.; CHIH-JEN LIN | Journal of Machine Learning Research | | | |
2008 | Trust Region Newton Method for Logistic Regression | Lin, Chih-Jen ; Weng, Ruby C.; Keerthi, S. Sathiya | The Journal of Machine Learning Research | | | |
2007 | Trust region Newton methods for large-scale logistic regression. | Lin, Chih-Jen; Weng, Ruby C.; CHIH-JEN LIN | Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007 | 87 | 0 | |
2005 | A Tutorial on $nu$-Support Vector Machines | Chen, Pai-Hsuen; Lin, Chih-Jen ; Scholkopf, Bernhard | Applied Stochastic Models in Business and Industry | | | |
2005 | A tutorial on v-support vector machines | Chen, P.-H.; Lin, C.-J.; Sch?lkopf, B.; CHIH-JEN LIN | Applied Stochastic Models in Business and Industry | 397 | 290 | |
2003 | a tutorial on ν -support vector machines | Chen, Pai-Hsuen; Lin, Chih-Jen ; Scholkopf, Bernhard | | | | |
2021 | A two-level decomposition framework exploiting first and second order information for svm training problems | Galvan G; Lapucci M; Lin C.-J; Sciandrone M.; CHIH-JEN LIN | Journal of Machine Learning Research | 3 | | |
2020 | Two-variable dual coordinate descent methods for linear SVM with/without the bias term | Chiu, C.-C.; Lin, P.-Y.; Lin, C.-J.; CHIH-JEN LIN | Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020 | 2 | 0 | |
2020 | Unbiased Ad Click Prediction for Position-aware Advertising Systems | Yuan, B.; Liu, Y.; Hsia, J.-Y.; Dong, Z.; Lin, C.-J.; CHIH-JEN LIN | RecSys 2020 - 14th ACM Conference on Recommender Systems | 15 | 0 | |
2017 | A unified algorithm for one-cass structured matrix factorization with side information | Yu H.-F; Huang H.-Y; Dihillon I.S; Lin C.-J.; CHIH-JEN LIN | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 | 14 | | |
2015 | Warm Start for Parameter Selection of Linear Classifiers. | Chu, Bo-Yu; Ho, Chia-Hua; Tsai, Cheng-Hao; Lin, Chieh-Yen; CHIH-JEN LIN | Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 | 22 | 0 | |
2005 | Working Set Selection Using Second
Order Information for Training SVM | Lin, Chih-Jen | | | | |