Results 1-109 of 109 (Search time: 0.007 seconds).

Issue DateTitleAuthor(s)SourcescopusWOSFulltext/Archive link
12021Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and?Attention-Based Deep ModelsBai C.-Y; Chen B.-F; Lin H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)0
22020Active deep Q-learning with demonstrationChen, S.-A.; Tangkaratt, V.; Lin, H.-T.; Sugiyama, M.; HSUAN-TIEN LIN Machine Learning4
32020Improving unsupervised domain adaptation with representative selection techniquesChen, I.-T.; Lin, H.-T.; HSUAN-TIEN LIN CEUR Workshop Proceedings
42020SERIL: Noise adaptive speech enhancement using regularization-based incremental learningLee C.-C; Lin Y.-C; Lin H.-T; Wang H.-M; Tsao Y.; HSUAN-TIEN LIN Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH0
52020Cost-Sensitive Deep Learning with Layer-Wise Cost EstimationChung Y.-A; Yang S.-W; Lin H.-T.; HSUAN-TIEN LIN Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 20200
62020Unbiased risk estimators can mislead: A case study of learning with complementary labelsChou Y.-T; Niu G; Lin H.-T; Sugiyama M.; HSUAN-TIEN LIN 37th International Conference on Machine Learning, ICML 2020
72020Cost Learning Network for Imbalanced ClassificationTu C.-Y; Lin H.-T.; HSUAN-TIEN LIN Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 20200
82019Advances in cost-sensitive multiclass and multilabel classificationLin, H.-T.; HSUAN-TIEN LIN Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining00
92019Dynamic principal projection for cost-sensitive online multi-label classificationChu, H.-M.; Huang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN Machine Learning04
102019Annotation cost-sensitive active learning by tree samplingTsou, Y.-L.; Lin, H.-T.; HSUAN-TIEN LIN Machine Learning23
112019Deep Learning with a Rethinking Structure for Multi-label Classification.Yang, Yao-Yuan; Lin, Yi-An; Chu, Hong-Min; Lin, Hsuan-Tien; HSUAN-TIEN LIN Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan.
122019Advances in Cost-sensitive Multiclass and Multilabel Classification.Lin, Hsuan-Tien; HSUAN-TIEN LIN Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019.00
132019Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural NetworksChen, Buo-Fu; Chen, Boyo; Lin, Hsuan-Tien; Elsberry, Russell L.; HSUAN-TIEN LIN Weather and Forecasting422
142019Attention-based deep tropical cyclone rapid intensification predictionBai, C.-Y.; Chen, B.-F.; Lin, H.-T.; HSUAN-TIEN LIN CEUR Workshop Proceedings
152019A data-driven probabilistic rainfall-inundation model for flash-flood warningsPan, T.-Y. ; Lin, H.-T. ; Liao, H.-Y.Water (Switzerland)12
162018Cyclic classifier chain for cost-Sensitive multilabel classificationLin, Y.-A.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 201700
172018Multi-Label Classification with Feature-Aware Cost-Sensitive Label EmbeddingChiu, H.-C.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 201800
182018Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regressionChen, B.; Chen, B.-F.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining70
192018Cost-sensitive reference pair encoding for multi-label learningYang, Y.-Y.; Huang, K.-H.; Chang, C.-W.; Lin, H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10
202018Automatic Bridge Bidding Using Deep Reinforcement LearningYeh, C.; Hsieh, C.; Lin, H.; HSUAN-TIEN LIN Journal of Lightwave Technology01
212018Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label ClassificationLo, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 201700
222018Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression.Chen, Boyo; Chen, Buo-Fu; Lin, Hsuan-Tien; HSUAN-TIEN LIN Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 201870
232018Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.Yang, Yao-Yuan; Huang, Kuan-Hao; Chang, Chih-Wei; Lin, Hsuan-Tien; HSUAN-TIEN LIN Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I10
242018Automatic Bridge Bidding Using Deep Reinforcement LearningYeh, Chih-Kuan; Hsieh, Cheng-Yu; Lin, Hsuan-Tien; HSUAN-TIEN LIN Ieee Transactions on Games01
252018Multi-Label Classification with Feature-Aware Cost-Sensitive Label Embedding.Chiu, Hsien-Chun; Lin, Hsuan-Tien; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018, Taichung, Taiwan, November 30 - December 2, 201800
262018Refuel: Exploring sparse features in deep reinforcement learning for fast disease diagnosisPeng Y.-S; Tang K.-F; Chang E.Y; Lin H.-T.; HSUAN-TIEN LIN Advances in Neural Information Processing Systems
272018Compatibility family learning for item recommendation and generationShih Y.-S; Chang K.-Y; Lin H.-T; Sun M.; HSUAN-TIEN LIN 32nd AAAI Conference on Artificial Intelligence, AAAI 2018
282018A deep model with local surrogate loss for general cost-sensitive multi-label learningHsieh C.-Y; Lin Y.-A; Lin H.-T.; HSUAN-TIEN LIN 32nd AAAI Conference on Artificial Intelligence, AAAI 2018
292017Cost-sensitive label embedding for multi-label classificationKuan-Hao Huang; Hsuan-Tien Lin; HSUAN-TIEN LIN Machine Learning 1931
302017A novel uncertainty sampling algorithm for cost-sensitive multiclass active learningHuang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - IEEE International Conference on Data Mining, ICDM10
312017Progressive random k-labelsets for cost-sensitive multi-label classificationWu, Y.-P.; Lin, H.-T.; HSUAN-TIEN LIN Machine Learning812
322017Can active learning experience be transferred?Chu, H.-M.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - IEEE International Conference on Data Mining, ICDM50
332017Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification.Lo, Kuo-Hsuan; Lin, Hsuan-Tien; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017, Taipei, Taiwan, December 1-3, 201700
342017Cyclic Classifier Chain for Cost-Sensitive Multilabel Classification.Lin, Yi-An; Lin, Hsuan-Tien; HSUAN-TIEN LIN 2017 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2017, Tokyo, Japan, October 19-21, 201700
352016A 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 I10
362016Linear upper confidence bound algorithm for contextual bandit problem with piled rewardsHuang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10
372016Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.Huang, Kuan-Hao; 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 II10
382016A simple unlearning framework for online learning under concept driftsYou, S.-C.; Lin, H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10
392016Automatic Bridge bidding using deep reinforcement learningYeh, C.-K.; Lin, H.-T.; HSUAN-TIEN LIN Frontiers in Artificial Intelligence and Applications50
402016Can Active Learning Experience Be Transferred?Chu, Hong-Min; Lin, Hsuan-Tien; HSUAN-TIEN LIN IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain00
412016Automatic Bridge Bidding Using Deep Reinforcement Learning.Yeh, Chih-Kuan; Lin, Hsuan-Tien; HSUAN-TIEN LIN ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016)50
422016A 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, Spain00
432016A practical divide-and-conquer approach for preference-based learning to rankYang, H.-J.; Lin, H.-T.; HSUAN-TIEN LIN TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence00
442015Effective string processing and matching for author disambiguationChin, W.-S.; HSUAN-TIEN LIN et al. Journal of Machine Learning Research 
452015A practical divide-and-conquer approach for preference-based learning to rank.Yang, Han-Jay; Lin, Hsuan-Tien; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015, Tainan, Taiwan, November 20-22, 201500
462015Active learning using hint informationLi, C.-L.; Ferng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN Neural Computation 96
472015Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013Li, C.-L.; HSUAN-TIEN LIN et al. Journal of Machine Learning Research 
482015Active learning by learningHsu, W.-N.; Lin, H.-T.; HSUAN-TIEN LIN National Conference on Artificial Intelligence
492014Machine Learning Approaches for Interactive Verification.Chou, Yu-Cheng; Lin, Hsuan-Tien; HSUAN-TIEN LIN Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II00
502014Machine learning approaches for interactive verificationChou, Y.-C.; Lin, H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)00
512014Machine learning approaches for interactive verificationChou, Y.-C.; Lin, H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science00
522014Condensed filter tree for cost-sensitive multi-label classificationLi, C.-L.; Lin, H.-T.; HSUAN-TIEN LIN 31st International Conference on Machine Learning
532014Boosting with online binary learners for the multiclass bandit problemChen, S.-T.; Lin, H.-T.; Lu, C.-J.; HSUAN-TIEN LIN 31st International Conference on Machine Learning, ICML 2014 
542013Pairwise regression with upper confidence bound for contextual bandit with multiple actionsChang, Y.-H.; Lin, H.-T.; HSUAN-TIEN LIN 2013 Conference on Technologies and Applications of Artificial Intelligence00
552013Data selection techniques for large-scale RankSVMLin, K.-Y.; Jan, T.-K.; Lin, H.-T.; HSUAN-TIEN LIN 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 20
562013Improving ranking performance with cost-sensitive ordinal classification via regressionRuan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN Information Retrieval 87
572013Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013Li, C.-L.; HSUAN-TIEN LIN ; CHIH-JEN LIN ; SHOU-DE LIN et al. 2013 KDD Cup 2013 Workshop 70
582013Multilabel classification using error-correcting codes of hard or soft bitsFerng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN IEEE Transactions on Neural Networks and Learning Systems 1112
592013Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.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; HSUAN-TIEN LIN Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 201370
602013Data Selection Techniques for Large-Scale Rank SVM.Lin, Ken-Yi; Jan, Te-Kang; Lin, Hsuan-Tien; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 201320
612013Effective string processing and matching for author disambiguation.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 Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 201360
622013Active Learning for Multiclass Cost-Sensitive Classification Using Probabilistic Models.Chen, Po-Lung; Lin, Hsuan-Tien; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 201370
632013Pairwise Regression with Upper Confidence Bound for Contextual Bandit with Multiple Actions.Chang, Ya-Hsuan; Lin, Hsuan-Tien; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 201300
642013Active sampling of pairs and points for large-scale linear bipartite rankingShen, W.-Y.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research 
652013Active learning for multiclass cost-sensitive classification using probabilistic modelsChen, P.-L.; Lin, H.-T.; HSUAN-TIEN LIN 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 70
662013Effective string processing and matching for author disambiguationChin, W.-S.; HSUAN-TIEN LIN ; CHIH-JEN LIN ; SHOU-DE LIN et al. 2013 KDD Cup 2013 Workshop 60
672012A simple methodology for soft cost-sensitive classification.Jan, Te-Kang; Wang, Da-Wei; Lin, Chi-Hung; Lin, Hsuan-Tien; HSUAN-TIEN LIN The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012120
682012Multilabel classification with principal label space transformationTai, F.; Lin, H.-T.; HSUAN-TIEN LIN Neural Computation 161127
692012Reduction from cost-sensitive ordinal ranking to weighted binary classificationLin, Hsuan-Tien; Li, Ling; Lin, Hsuan-Tien Neural Computation 6364
702012A simple methodology for soft cost-sensitive classificationJan, Te-Kang; Wang, Da-Wei; Lin, Chi-Hung; Lin, Hsuan-Tien; HSUAN-TIEN LIN 120
712012Active learning with hinted support vector machineLi, C.-L.; Ferng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research 
722012Unsupervised semantic feature discovery for image object retrieval and tag refinementKuo, Yin-Hsi; Cheng, Wen-Huang; Lin, Hsuan-Tien; Hsu, Winston H.; HSUAN-TIEN LIN ; Jang, Yuh IEEE Transactions on Multimedia 3934
732012Learning from Data: A Short CourseAbu-Mostafa, Yaser S.; Magdon-Ismail, Malik; Lin, Hsuan-Tien 
742012Teaching Machine Learning to a Diverse Audience: the Foundation-based ApproachLin, Hsuan-Tien ; Magdon-Ismail, Malik; Abu-Mostafa, Yaser S.ICML
752012Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation ChallengeChou, Ku-Chun; Lin, Hsuan-Tien ICML 
762012A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012Wu, Kuan-Wei; Lin, Shou-De ; Lin, Hsuan-Tien et al. KDDCup 
772012Active Learning with Hinted Support Vector MachineLi, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien ACML 
782012Feature-aware Label Space Dimension Reduction for Multi-label ClassificationChen, Yao-Nan; Lin, Hsuan-Tien Advances in Neural Information Processing Systems 
792012An Online Boosting Algorithm with Theoretical JustificationsChen, Shang-Tse; Lin, Hsuan-Tien ; Lu, Chi-Jen29th International Conference on Machine Learning
802011Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering.Jan, Te-Kang; Lin, Hsuan-Tien; Chen, Hsin-Pai; Chern, Tsung-Chen; Huang, Chung-Yueh; Wen, Bing-Cheng; Chung, Chia-Wen; Li, Yung-Jui; Chuang, Ya-Ching; Li, Li-Li; Chan, Yu-Jiun; Wang, Juen-Kai; Wang, Yuh-Lin; Lin, Chi-Hung; Wang, Da-Wei; HSUAN-TIEN LIN IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 201130
812011Unsupervised auxiliary visual words discovery for large-scale image object retrieval.Kuo, Yin-Hsi; Lin, Hsuan-Tien; Cheng, Wen-Huang; Yang, Yi-Hsuan; Hsu, Winston H.; HSUAN-TIEN LIN The 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, CO, USA, 20-25 June 2011140
822011Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music RecommendationMcKenzie, Todd G.; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. KDD Cup 
832011Multi-label Active Learning with Auxiliary LearnerHung, Chen-Wei; Lin, Hsuan-Tien ACML '11
842011Multi-label Classification with Error-correcting CodesFerng, Chun-Sung; Lin, Hsuan-Tien ACML '11
852011A Linear Ensemble of Individual and Blended Models for Music Rating PredictionChen, Po-Lung; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. KDD Cup 
862011Multi-label classification with error-correcting codesFerng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research 
872011Multi-label active learning with auxiliary learnerHung, C.-W.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research 
882011Unsupervised auxiliary visual words discovery for large-scale image object retrievalKuo, Yin-Hsi; Lin, Hsuan-Tien; Cheng, Wen-Huang; Yang, Yi-Hsuan; Hsu, Winston H.; HSUAN-TIEN LIN IEEE Computer Society Conference on Computer Vision and Pattern Recognition140
892011Cost-sensitive classification on pathogen species of bacterial meningitis by surface enhanced Raman scatteringJan, Te-Kang; HSUAN-TIEN LIN ; Wang, Juen-Kai et al. 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011 30
902010Feature Engineering and Classifier Ensemble for KDD Cup 2010Yu, Hsiang-Fu; Lo, Yi-Chen ; Lin, Shou-de ; Lin, Hsuan-Tien ; Lin, Chih-Jen et al. KDDCup 
912010An Ensemble Ranking Solution to the Yahoo! Learning to Rank ChallengeTsai, Ming-Feng; Chen, Shang-Tse; Chen, Yao-Nan; Ferng, Chun-Sung; Wang, Chia-Hsuan; Wen, Tzay-Yeu; Lin, Hsuan-Tien Workshop on the Yahoo! Learning to Rank Challenge at ICML '10 
922010Multi-label Classification with Principle Label Space TransformationTai, Farbound; Lin, Hsuan-Tien ICML '10 
932010Cost-sensitive Classification: Status and BeyondLin, Hsuan-Tien Workshop on Machine Learning Research in Taiwan: Challenges and Directions at TAAI 
942010One-sided Support Vector Regression for Multiclass Cost-sensitive ClassificationTu, Han-Hsing; Lin, Hsuan-Tien 27th International Conference on Machine Learning 
952009Combining Ordinal Preferences by BoostingLin, Hsuan-Tien ; Li, LingPreference Learning Workshop at ECML/PKDD '09 
962008Support Vector Machinery for Infinite Ensemble LearningLin, Hsuan-Tien ; Li, LingJournal of Machine Learning Research 
972007Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent.Li, Ling; Lin, Hsuan-Tien; HSUAN-TIEN LIN Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 200750
982007Optimizing 0/1 loss for perceptrons by random coordinate descentLi, L.; Lin, H.-T.; HSUAN-TIEN LIN IEEE International Conference on Neural Networks50
992007Ordinal regression by extended binary classificationLi, L.; Lin, H.-T.; HSUAN-TIEN LIN Advances in Neural Information Processing Systems 
1002007A note on Platt's probabilistic outputs for support vector machinesLin, Hsuan-Tien ; Lin, Chih-Jen ; Weng, Ruby C.Machine Learning 
1012006Large-margin thresholded ensembles for ordinal regression: Theory and practiceLin, H.-T.; Li, L.; HSUAN-TIEN LIN Lecture Notes in Computer Science260
1022006Large-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, Proceedings260
1032005a study on sigmoid kernels for svm and the training of non-psdLin, Hsuan-Tien ; Lin, Chih-Jen 
1042005Infinite ensemble learning with support vector machinesLin, H.-T.; Li, L.; HSUAN-TIEN LIN Lecture Notes in Computer Science60
1052005Infinite Ensemble Learning with Support Vector Machines.Lin, Hsuan-Tien; Li, Ling; HSUAN-TIEN LIN Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings60
1062005Improving 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, Proceedings120
1072005Improving generalization by data categorizationLi, L.; Pratap, A.; Lin, H.-T.; Abu-Mostafa, Y.S.; HSUAN-TIEN LIN Lecture Notes in Computer Science120
1082002A note on the decomposition methods for support vector regressionLiao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN Neural Computation 2018
1092001A note on the decomposition methods for support vector regressionLiao, Shuo-Peng; Lin, Hsuan-Tien ; Lin, Chih-Jen International Joint Conference on Neural Networks 00