LIBSVM: A library for support vector machines CC Chang, CJ Lin ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011 | 53475 | 2011 |
LIBSVM: a library for support vector machines CC Chang, CJ Lin ACM transactions on intelligent systems and technology (TIST) 2 (3), 1-27, 2011 | 53104 | 2011 |
LIBSVM: a Library for Support Vector Machines C Chang, CJ Lin | 53094* | 2001 |
LIBSVM: A library for support vector machines CC Chang, CJ Lin ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011 | 53045 | 2011 |
LIBSVM: a library for support vector machines CC Chang, CJ Lin ACM transactions on intelligent systems and technology (TIST) 2 (3), 1-27, 2011 | 53034 | 2011 |
LIBSVM: a library for support vector machines CC Chang, CJ Lin ACM transactions on intelligent systems and technology (TIST) 2 (3), 1-27, 2011 | 53008 | 2011 |
A comparison of methods for multiclass support vector machines CW Hsu, CJ Lin IEEE transactions on Neural Networks 13 (2), 415-425, 2002 | 10018 | 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 | 9464 | 2008 |
A practical guide to support vector classification CW Hsu, CC Chang, CJ Lin | 8916 | 2003 |
Probability estimates for multi-class classification by pairwise coupling TF Wu, CJ Lin, R Weng Advances in Neural Information Processing Systems 16, 2003 | 2404 | 2003 |
Asymptotic behaviors of support vector machines with Gaussian kernel SS Keerthi, CJ Lin Neural computation 15 (7), 1667-1689, 2003 | 2265 | 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 | 2235 | 2005 |
Projected gradient methods for nonnegative matrix factorization CJ Lin Neural computation 19 (10), 2756-2779, 2007 | 2174 | 2007 |
Combining SVMs with various feature selection strategies YW Chen, CJ Lin Feature extraction: foundations and applications, 315-324, 2006 | 1218 | 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 | 1147 | 2008 |
A note on Platt’s probabilistic outputs for support vector machines HT Lin, CJ Lin, RC Weng Machine learning 68, 267-276, 2007 | 1068 | 2007 |
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 | 1043 | 2004 |
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 | 932 | 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 | 847 | 2004 |
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 | 749 | 2010 |