| 臺大學術典藏 |
2020-05-04T07:56:20Z |
Automatic Bridge Bidding Using Deep Reinforcement Learning
|
Yeh, Chih-Kuan; Hsieh, Cheng-Yu; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:20Z |
Automatic Bridge bidding using deep reinforcement learning
|
Yeh, C.-K.;Lin, H.-T.; Yeh, C.-K.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:20Z |
Machine learning approaches for interactive verification
|
Chou, Y.-C.;Lin, H.-T.; Chou, Y.-C.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:19Z |
Cost-sensitive reference pair encoding for multi-label learning
|
HSUAN-TIEN LIN; Lin, H.-T.; Chang, C.-W.; Huang, K.-H.; Yang, Y.-Y. |
| 臺大學術典藏 |
2020-05-04T07:56:19Z |
Progressive random k-labelsets for cost-sensitive multi-label classification
|
Wu, Y.-P.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:19Z |
A novel uncertainty sampling algorithm for cost-sensitive multiclass active learning
|
Huang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:19Z |
Can active learning experience be transferred?
|
Chu, H.-M.;Lin, H.-T.; Chu, H.-M.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:18Z |
Annotation cost-sensitive active learning by tree sampling
|
HSUAN-TIEN LIN; Tsou, Y.-L.;Lin, H.-T.; Tsou, Y.-L.; Lin, H.-T. |
| 臺大學術典藏 |
2020-05-04T07:56:18Z |
Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regression
|
Chen, B.; Chen, B.-F.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:18Z |
Cyclic classifier chain for cost-Sensitive multilabel classification
|
Lin, Y.-A.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2020-05-04T07:56:17Z |
Dynamic principal projection for cost-sensitive online multi-label classification
|
Lin, H.-T.; HSUAN-TIEN LIN; Huang, K.-H.; Chu, H.-M.; Chu, H.-M.;Huang, K.-H.;Lin, H.-T. |
| 臺大學術典藏 |
2020-05-04T07:56:17Z |
Advances in cost-sensitive multiclass and multilabel classification
|
Lin, H.-T.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2019 |
Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks
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Lin, Hsuan-Tien; Chen, Boyo; Chen, Buo-Fu; Elsberry, Russell L.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2019 |
Deep Learning with a Rethinking Structure for Multi-label Classification.
|
Yang, Yao-Yuan; Yang, Yao-Yuan;Lin, Yi-An;Chu, Hong-Min;Lin, Hsuan-Tien; Lin, Yi-An; Chu, Hong-Min; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T18:02:36Z |
Cost-sensitive label embedding for multi-label classification
|
Kuan-Hao Huang; Hsuan-Tien Lin; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T18:02:36Z |
Cost-sensitive label embedding for multi-label classification
|
Kuan-Hao Huang; Hsuan-Tien Lin; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T15:21:02Z |
Active learning by learning
|
Hsu, W.-N.;Lin, H.-T.; Hsu, W.-N.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T15:21:02Z |
Active learning using hint information
|
Li, C.-L.;Ferng, C.-S.;Lin, H.-T.; Li, C.-L.; Ferng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T14:55:47Z |
Machine learning approaches for interactive verification
|
Chou, Y.-C.;Lin, H.-T.; Chou, Y.-C.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T14:55:47Z |
Condensed filter tree for cost-sensitive multi-label classification
|
Li, C.-L.;Lin, H.-T.; Li, C.-L.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T14:55:47Z |
Boosting with online binary learners for the multiclass bandit problem
|
Chen, S.-T.;Lin, H.-T.;Lu, C.-J.; Chen, S.-T.; Lin, H.-T.; Lu, C.-J.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T09:45:53Z |
Pairwise regression with upper confidence bound for contextual bandit with multiple actions
|
Chang, Y.-H.;Lin, H.-T.; Chang, Y.-H.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T09:45:53Z |
Data selection techniques for large-scale RankSVM
|
Lin, K.-Y.;Jan, T.-K.;Lin, H.-T.; Lin, K.-Y.; Jan, T.-K.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T09:45:53Z |
Multilabel classification using error-correcting codes of hard or soft bits
|
Ferng, C.-S.;Lin, H.-T.; Ferng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN |
| 臺大學術典藏 |
2018-09-10T09:45:53Z |
Improving ranking performance with cost-sensitive ordinal classification via regression
|
Ruan, Yu-Xun;Lin, Hsuan-Tien;Tsai, Ming-Feng; Ruan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN |
