公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
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.; Lin, H.-T.; HSUAN-TIEN LIN | Proceedings - IEEE International Conference on Data Mining, ICDM | 12 | 0 | |
2016 | A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning. | Huang, Kuan-Hao; Lin, Hsuan-Tien; HSUAN-TIEN LIN | IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain | 0 | 0 | |
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.; Lin, H.-T.; 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.; Lin, H.-T.; HSUAN-TIEN LIN | Machine Learning | 17 | 14 | |
2012 | Reduction from cost-sensitive ordinal ranking to weighted binary classification | Li, Ling; Lin, Hsuan-Tien | Neural Computation | 91 | 76 | |
2023 | Reduction from Complementary-Label Learning to Probability Estimates | Lin, Wei I.; HSUAN-TIEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 1 | 0 | |
2018 | Refuel: Exploring sparse features in deep reinforcement learning for fast disease diagnosis | Peng Y.-S; Tang K.-F; Chang E.Y; Lin H.-T.; HSUAN-TIEN LIN | Advances in Neural Information Processing Systems | 27 | | |
2018 | Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regression | Chen, B.; Chen, B.-F.; HSUAN-TIEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 44 | 0 | |
2020 | SERIL: Noise adaptive speech enhancement using regularization-based incremental learning | Lee C.-C; Lin Y.-C; Wang H.-M; Tsao Y.; HSUAN-TIEN LIN | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | 5 | 0 | |
2016 | A Simple Unlearning Framework for Online Learning Under Concept Drifts. | You, Sheng-Chi; Lin, Hsuan-Tien; 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 I | 2 | 0 | |
2005 | a study on sigmoid kernels for svm and the training of non-psd | Lin, Hsuan-Tien ; Lin, Chih-Jen | | | | |