| Large-scale logistic regression and linear support vector machines using Spark CY Lin, CH Tsai, CP Lee, CJ Lin Big Data (Big Data), 2014 IEEE International Conference on, 519-528, 2014 | 122 | 2014 |
| Incremental and decremental training for linear classification CH Tsai, CY Lin, CJ Lin Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 108 | 2014 |
| A linear ensemble of individual and blended models for music rating prediction PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ... Proceedings of the 2011 International Conference on KDD Cup 2011-Volume 18 …, 2011 | 70 | 2011 |
| Warm start for parameter selection of linear classifiers BY Chu, CH Ho, CH Tsai, CY Lin, CJ Lin Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 46 | 2015 |
| Effective string processing and matching for author disambiguation WS Chin, Y Zhuang, YC Juan, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... The Journal of Machine Learning Research 15 (1), 3037-3064, 2014 | 44 | 2014 |
| Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ... The Journal of Machine Learning Research 16 (1), 2921-2947, 2015 | 26 | 2015 |
| Novel models and ensemble techniques to discriminate favorite items from unrated ones for personalized music recommendation TG McKenzie, CS Ferng, YN Chen, CL Li, CH Tsai, KW Wu, YH Chang, ... Proceedings of the 2011 International Conference on KDD Cup 2011-Volume 18 …, 2011 | 17 | 2011 |
