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"hsuan tien lin"的相關文件
顯示項目 1-50 / 77 (共2頁) 1 2 > >> 每頁顯示[10|25|50]項目
臺大學術典藏 |
2021-09-21T23:19:42Z |
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
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Bai, Ching Yuan; HSUAN-TIEN LIN; Raffel, Colin; Kan, Wendy Chi Wen |
臺大學術典藏 |
2021-04-21T23:30:05Z |
Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation
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Chung, Yu An; Yang, Shao Wen; HSUAN-TIEN LIN |
臺大學術典藏 |
2021-04-21T23:30:04Z |
Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-Based Deep Models
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Bai, Ching Yuan; Chen, Buo Fu; HSUAN-TIEN LIN |
臺大學術典藏 |
2021-04-21T23:30:04Z |
Cost Learning Network for Imbalanced Classification
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Tu, Chun Yi; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:26Z |
Improving Generalization by Data Categorization.
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Li, Ling; Pratap, Amrit; Lin, Hsuan-Tien; Abu-Mostafa, Yaser S.; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:25Z |
Unsupervised auxiliary visual words discovery for large-scale image object retrieval.
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HSUAN-TIEN LIN; Kuo, Yin-Hsi;Lin, Hsuan-Tien;Cheng, Wen-Huang;Yang, Yi-Hsuan;Hsu, Winston H.; Kuo, Yin-Hsi; Lin, Hsuan-Tien; Cheng, Wen-Huang; Yang, Yi-Hsuan; Hsu, Winston H. |
臺大學術典藏 |
2020-05-04T07:56:25Z |
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent.
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Li, Ling; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:25Z |
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.
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HSUAN-TIEN LIN; Li, Ling; Lin, Hsuan-Tien |
臺大學術典藏 |
2020-05-04T07:56:25Z |
Infinite Ensemble Learning with Support Vector Machines.
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Li, Ling; HSUAN-TIEN LIN; Lin, Hsuan-Tien |
臺大學術典藏 |
2020-05-04T07:56:24Z |
Data Selection Techniques for Large-Scale Rank SVM.
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Lin, Ken-Yi;Jan, Te-Kang;Lin, Hsuan-Tien; Lin, Ken-Yi; Jan, Te-Kang; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:24Z |
A simple methodology for soft cost-sensitive classification.
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HSUAN-TIEN LIN; Lin, Hsuan-Tien; Lin, Chi-Hung; Wang, Da-Wei; Jan, Te-Kang |
臺大學術典藏 |
2020-05-04T07:56:23Z |
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.
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Huang, Kuan-Hao;Lin, Hsuan-Tien; Huang, Kuan-Hao; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:23Z |
A practical divide-and-conquer approach for preference-based learning to rank.
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HSUAN-TIEN LIN; Lin, Hsuan-Tien; Yang, Han-Jay;Lin, Hsuan-Tien; Yang, Han-Jay |
臺大學術典藏 |
2020-05-04T07:56:23Z |
Machine Learning Approaches for Interactive Verification.
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Chou, Yu-Cheng;Lin, Hsuan-Tien; Chou, Yu-Cheng; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:23Z |
Effective string processing and matching for author disambiguation.
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Chin, Wei-Sheng;Juan, Yu-Chin;Zhuang, Yong;Wu, Felix;Tung, Hsiao-Yu;Yu, Tong;Wang, Jui-Pin;Chang, Cheng-Xia;Yang, Chun-Pai;Chang, Wei-Cheng;Huang, Kuan-Hao;Kuo, Tzu-Ming;Lin, Shan-Wei;Lin, Young-San;Lu, Yu-Chen;Su, Yu-Chuan;Wei, Cheng-Kuang;Yin, Tu-Chun;Li, Chun-Liang;Lin, Ting-Wei;Tsai, Cheng-Hao;Lin, Shou-De;Lin, Hsuan-Tien;Lin, Chih-Jen; Chin, Wei-Sheng; Juan, Yu-Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao-Yu; Yu, Tong; Wang, Jui-Pin; Chang, Cheng-Xia; Yang, Chun-Pai; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Su, Yu-Chuan; Wei, Cheng-Kuang; Yin, Tu-Chun; Li, Chun-Liang; Lin, Ting-Wei; Tsai, Cheng-Hao; Lin, Shou-De; Lin, Hsuan-Tien; Lin, Chih-Jen; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:23Z |
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.
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Yu, Tong; Zhuang, Yong; Lin, Shou-de; Lin, Hsuan-Tien; Lin, Chih-Jen; HSUAN-TIEN LIN; Yin, Tu-Chun; Wu, Felix; Wei, Cheng-Kuang; Wang, Jui-Pin; Tung, Hsiao-Yu; Juan, Yu-Chin; Chin, Wei-Sheng; Chang, Cheng-Xia; Yang, Chun-Pai; Lu, Yu-Chen; Lin, Young-San; Lin, Shan-Wei; Li, Chun-Liang;Su, Yu-Chuan;Lin, Ting-Wei;Tsai, Cheng-Hao;Chang, Wei-Cheng;Huang, Kuan-Hao;Kuo, Tzu-Ming;Lin, Shan-Wei;Lin, Young-San;Lu, Yu-Chen;Yang, Chun-Pai;Chang, Cheng-Xia;Chin, Wei-Sheng;Juan, Yu-Chin;Tung, Hsiao-Yu;Wang, Jui-Pin;Wei, Cheng-Kuang;Wu, Felix;Yin, Tu-Chun;Yu, Tong;Zhuang, Yong;Lin, Shou-de;Lin, Hsuan-Tien;Lin, Chih-Jen; Li, Chun-Liang; Su, Yu-Chuan; Lin, Ting-Wei; Tsai, Cheng-Hao; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming |
臺大學術典藏 |
2020-05-04T07:56:22Z |
Automatic Bridge Bidding Using Deep Reinforcement Learning.
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Yeh, Chih-Kuan;Lin, Hsuan-Tien; Yeh, Chih-Kuan; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:22Z |
Can Active Learning Experience Be Transferred?
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HSUAN-TIEN LIN; Lin, Hsuan-Tien; Chu, Hong-Min;Lin, Hsuan-Tien; Chu, Hong-Min |
臺大學術典藏 |
2020-05-04T07:56:22Z |
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.
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Lin, Hsuan-Tien; HSUAN-TIEN LIN; Huang, Kuan-Hao |
臺大學術典藏 |
2020-05-04T07:56:22Z |
Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification.
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HSUAN-TIEN LIN; Lo, Kuo-Hsuan; Lin, Hsuan-Tien |
臺大學術典藏 |
2020-05-04T07:56:21Z |
Advances in Cost-sensitive Multiclass and Multilabel Classification.
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Lin, Hsuan-Tien; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:21Z |
Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression.
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Chen, Boyo;Chen, Buo-Fu;Lin, Hsuan-Tien; Chen, Boyo; Chen, Buo-Fu; Lin, Hsuan-Tien; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:21Z |
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.
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Chang, Chih-Wei; Lin, Hsuan-Tien; HSUAN-TIEN LIN; Huang, Kuan-Hao; Yang, Yao-Yuan |
臺大學術典藏 |
2020-05-04T07:56:21Z |
Multi-Label Classification with Feature-Aware Cost-Sensitive Label Embedding.
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HSUAN-TIEN LIN; Chiu, Hsien-Chun; Lin, Hsuan-Tien |
臺大學術典藏 |
2020-05-04T07:56:20Z |
Linear upper confidence bound algorithm for contextual bandit problem with piled rewards
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Huang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN |
臺大學術典藏 |
2020-05-04T07:56:20Z |
Automatic Bridge Bidding Using Deep Reinforcement Learning
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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
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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
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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
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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
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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
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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?
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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
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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
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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
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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
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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
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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.
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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
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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
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Kuan-Hao Huang; Hsuan-Tien Lin; HSUAN-TIEN LIN |
臺大學術典藏 |
2018-09-10T15:21:02Z |
Active learning by learning
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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
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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
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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
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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
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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
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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
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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
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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
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Ruan, Yu-Xun;Lin, Hsuan-Tien;Tsai, Ming-Feng; Ruan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN |
顯示項目 1-50 / 77 (共2頁) 1 2 > >> 每頁顯示[10|25|50]項目
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