第 1 到 24 筆結果,共 24 筆。
公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 | |
---|---|---|---|---|---|---|---|
1 | 2023 | Learning key steps to attack deep reinforcement learning agents | Yu, Chien Min; Chen, Ming Hsin; HSUAN-TIEN LIN | Machine Learning | 1 | 1 | |
2 | 2020 | Active deep Q-learning with demonstration | Chen, S.-A.; Tangkaratt, V.; Lin, H.-T.; Sugiyama, M.; HSUAN-TIEN LIN | Machine Learning | |||
3 | 2019 | A data-driven probabilistic rainfall-inundation model for flash-flood warnings | Pan, T.-Y. ; Lin, H.-T. ; Liao, H.-Y. | Water (Switzerland) | 9 | 6 | |
4 | 2019 | Dynamic principal projection for cost-sensitive online multi-label classification | Chu, H.-M.; Huang, K.-H.; HSUAN-TIEN LIN | Machine Learning | |||
5 | 2019 | Annotation cost-sensitive active learning by tree sampling | Tsou, Y.-L.; HSUAN-TIEN LIN | Machine Learning | |||
6 | 2019 | Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks | Chen, Buo-Fu; Chen, Boyo; Lin, Hsuan-Tien; Elsberry, Russell L.; HSUAN-TIEN LIN | Weather and Forecasting | |||
7 | 2017 | Cost-sensitive label embedding for multi-label classification | Kuan-Hao Huang; HSUAN-TIEN LIN | Machine Learning | |||
8 | 2017 | Progressive random k-labelsets for cost-sensitive multi-label classification | Wu, Y.-P.; HSUAN-TIEN LIN | Machine Learning | |||
9 | 2015 | Effective string processing and matching for author disambiguation | HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
10 | 2015 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
11 | 2015 | Active learning using hint information | Li, C.-L.; Ferng, C.-S.; HSUAN-TIEN LIN | Neural Computation | |||
12 | 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 | |||
13 | 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 | |||
14 | 2013 | Active sampling of pairs and points for large-scale linear bipartite ranking | Shen, W.-Y.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
15 | 2012 | Reduction from cost-sensitive ordinal ranking to weighted binary classification | Li, Ling; Lin, Hsuan-Tien | Neural Computation | 91 | 76 | |
16 | 2012 | Feature-aware Label Space Dimension Reduction for Multi-label Classification | Chen, Yao-Nan; Lin, Hsuan-Tien | Advances in Neural Information Processing Systems | |||
17 | 2012 | Active learning with hinted support vector machine | Li, C.-L.; Ferng, C.-S.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
18 | 2012 | Multilabel classification with principal label space transformation | Tai, F.; HSUAN-TIEN LIN | Neural Computation | |||
19 | 2011 | Multi-label classification with error-correcting codes | Ferng, C.-S.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
20 | 2011 | Multi-label active learning with auxiliary learner | Hung, C.-W.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
21 | 2008 | Support Vector Machinery for Infinite Ensemble Learning | Lin, Hsuan-Tien ; Li, Ling | Journal of Machine Learning Research | |||
22 | 2007 | A note on Platt's probabilistic outputs for support vector machines | Lin, Hsuan-Tien ; Lin, Chih-Jen ; Weng, Ruby C. | Machine Learning | 618 | ||
23 | 2005 | a study on sigmoid kernels for svm and the training of non-psd | Lin, Hsuan-Tien ; Lin, Chih-Jen | ||||
24 | 2002 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN | Neural Computation | 20 |