| LIBSVM: A library for support vector machines CC Chang, CJ Lin ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011 | 56131* | 2011 |
| LIBSVM: a Library for Support Vector Machines C Chang, CJ Lin | 55771* | 2001 |
| LIBSVM: A library for support vector machines CC Chang, CJ Lin ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011 | 51593 | 2011 |
| A comparison of methods for multiclass support vector machines CW Hsu, CJ Lin IEEE transactions on Neural Networks 13 (2), 415-425, 2002 | 10573 | 2002 |
| LIBLINEAR: A library for large linear classification RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin the Journal of machine Learning research 9, 1871-1874, 2008 | 10014 | 2008 |
| A Practical Guide to Support Vector Classification CW Hsu Department of Computer Science, National Taiwan University, 2003 | 9508 | 2003 |
| Probability estimates for multi-class classification by pairwise coupling TF Wu, CJ Lin, R Weng Advances in Neural Information Processing Systems 16, 2003 | 2522 | 2003 |
| Asymptotic behaviors of support vector machines with Gaussian kernel SS Keerthi, CJ Lin Neural computation 15 (7), 1667-1689, 2003 | 2404 | 2003 |
| Working set selection using second order information for training support vector machines. RE Fan, PH Chen, CJ Lin, T Joachims Journal of machine learning research 6 (12), 2005 | 2387 | 2005 |
| Projected gradient methods for nonnegative matrix factorization CJ Lin Neural computation 19 (10), 2756-2779, 2007 | 2297 | 2007 |
| Combining SVMs with various feature selection strategies YW Chen, CJ Lin Feature extraction: foundations and applications, 315-324, 2006 | 1317 | 2006 |
| A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008 | 1220 | 2008 |
| Load forecasting using support vector machines: A study on EUNITE competition 2001 BJ Chen, MW Chang IEEE transactions on power systems 19 (4), 1821-1830, 2004 | 1150 | 2004 |
| A note on Platt’s probabilistic outputs for support vector machines HT Lin, CJ Lin, RC Weng Machine learning 68, 267-276, 2007 | 1132 | 2007 |
| A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods HT Lin, CJ Lin Neural Comput 3 (1-32), 16, 2003 | 1000 | 2003 |
| Predicting subcellular localization of proteins for Gram‐negative bacteria by support vector machines based on n‐peptide compositions CS Yu, CJ Lin, JK Hwang Protein science 13 (5), 1402-1406, 2004 | 977 | 2004 |
| Field-aware factorization machines for CTR prediction Y Juan, Y Zhuang, WS Chin, CJ Lin Proceedings of the 10th ACM conference on recommender systems, 43-50, 2016 | 853 | 2016 |
| Parallel spectral clustering in distributed systems WY Chen, Y Song, H Bai, CJ Lin, EY Chang IEEE transactions on pattern analysis and machine intelligence 33 (3), 568-586, 2010 | 828 | 2010 |
| Training and testing low-degree polynomial data mappings via linear SVM. YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin Journal of Machine Learning Research 11 (4), 2010 | 750 | 2010 |
| A tutorial on ν‐support vector machines PH Chen, CJ Lin, B Schölkopf Applied Stochastic Models in Business and Industry 21 (2), 111-136, 2005 | 748 | 2005 |
Kai-Wei ChangAssociate Professor, UCLAkwchang.net의 이메일 확인됨
