公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2022 | Improving Clustering Uncertainty-weighted Embeddings for Active Domain Adaptation | Wu, Sheng Feng; HSUAN-TIEN LIN | Proceedings - 2022 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022 | 0 | 0 | |
2005 | Improving Generalization by Data Categorization. | Li, Ling; Pratap, Amrit; Lin, Hsuan-Tien; Abu-Mostafa, Yaser S.; HSUAN-TIEN LIN | Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings | | | |
2013 | Improving ranking performance with cost-sensitive ordinal classification via regression | Ruan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN | Information Retrieval | | | |
2020 | Improving unsupervised domain adaptation with representative selection techniques | Chen, I.-T.; HSUAN-TIEN LIN | CEUR Workshop Proceedings | | | |
2006 | Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice. | Lin, Hsuan-Tien; Li, Ling; HSUAN-TIEN LIN | Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings | | | |
2012 | Learning from Data: A Short Course | Abu-Mostafa, Yaser S.; Magdon-Ismail, Malik; Lin, Hsuan-Tien | | | | |
2020 | Learning from Label Proportions with Consistency Regularization | Tsai, Kuen Han; HSUAN-TIEN LIN | Proceedings of Machine Learning Research | 9 | | |
2023 | Learning key steps to attack deep reinforcement learning agents | Yu, Chien Min; Chen, Ming Hsin; HSUAN-TIEN LIN | Machine Learning | 1 | 1 | |
2011 | A Linear Ensemble of Individual and Blended Models for Music Rating Prediction | Chen, Po-Lung; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. | KDD Cup | | | |
2016 | Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards. | Huang, Kuan-Hao; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II | 3 | 0 | |
2014 | Machine learning approaches for interactive verification | Chou, Y.-C.; HSUAN-TIEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | | | |
2014 | Machine Learning Approaches for Interactive Verification. | Chou, Yu-Cheng; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II | | | |
2011 | Multi-label Active Learning with Auxiliary Learner | Hung, Chen-Wei; Lin, Hsuan-Tien | ACML '11 | | | |
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 | | | |