公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2011 | Multi-label active learning with auxiliary learner | Hung, C.-W.; HSUAN-TIEN LIN | Journal of Machine Learning Research | | | |
2011 | Multi-label Classification with Error-correcting Codes | Ferng, Chun-Sung; Lin, Hsuan-Tien | ACML '11 | | | |
2011 | Multi-label classification with error-correcting codes | Ferng, C.-S.; HSUAN-TIEN LIN | Journal of Machine Learning Research | | | |
2018 | Multi-Label Classification with Feature-Aware Cost-Sensitive Label Embedding | Chiu, H.-C.; HSUAN-TIEN LIN | Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018 | 0 | 0 | |
2010 | Multi-label Classification with Principle Label Space Transformation | Tai, Farbound; Lin, Hsuan-Tien | ICML '10 | | | |
2013 | Multilabel classification using error-correcting codes of hard or soft bits | Ferng, C.-S.; HSUAN-TIEN LIN | IEEE Transactions on Neural Networks and Learning Systems | | | |
2012 | Multilabel classification with principal label space transformation | Tai, F.; HSUAN-TIEN LIN | Neural Computation | | | |
2007 | A note on Platt's probabilistic outputs for support vector machines | Lin, Hsuan-Tien ; Lin, Chih-Jen ; Weng, Ruby C. | Machine Learning | 618 | | |
2001 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien ; Lin, Chih-Jen | International Joint Conference on Neural Networks | 0 | 0 | |
2011 | Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation | McKenzie, Todd G.; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. | KDD Cup | | | |
2017 | A novel uncertainty sampling algorithm for cost-sensitive multiclass active learning | Huang, K.-H.; HSUAN-TIEN LIN | Proceedings - IEEE International Conference on Data Mining, ICDM | | | |
2016 | A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning. | Huang, Kuan-Hao; HSUAN-TIEN LIN | IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain | | | |
2021 | On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition | Bai C.-Y; Raffel C; Kan W.C.-W.; HSUAN-TIEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 5 | 0 | |
2010 | One-sided Support Vector Regression for Multiclass Cost-sensitive Classification | Tu, Han-Hsing; Lin, Hsuan-Tien | 27th International Conference on Machine Learning | | | |
2012 | An Online Boosting Algorithm with Theoretical Justifications | Chen, Shang-Tse; Lin, Hsuan-Tien ; Lu, Chi-Jen | 29th International Conference on Machine Learning | | | |
2007 | Optimizing 0/1 loss for perceptrons by random coordinate descent | Li, L.; HSUAN-TIEN LIN | IEEE International Conference on Neural Networks | 9 | 0 | |
2007 | Ordinal regression by extended binary classification | Li, L.; HSUAN-TIEN LIN | Advances in Neural Information Processing Systems | | | |
2013 | Pairwise regression with upper confidence bound for contextual bandit with multiple actions | Chang, Y.-H.; HSUAN-TIEN LIN | 2013 Conference on Technologies and Applications of Artificial Intelligence | 0 | 0 | |
2016 | A practical divide-and-conquer approach for preference-based learning to rank | Yang, H.-J.; HSUAN-TIEN LIN | TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence | 1 | 0 | |
2017 | Progressive random k-labelsets for cost-sensitive multi-label classification | Wu, Y.-P.; HSUAN-TIEN LIN | Machine Learning | | | |