Hsuan-Tien Lin

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Chih-Jen LinProfessor of Computer Science, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Shou-De LinProfessor of Computer Science Department, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Chun-Sung FerngSoftware Engineer, GoogleVerified email at google.com
Chun-Liang LiResearch Scientist, GoogleVerified email at google.com
Kuan-Hao HuangUniversity of California, Los AngelesVerified email at cs.ucla.edu
Tsung-Ting KuoAssistant Professor of Medicine, University of California San DiegoVerified email at ucsd.edu
Todd G McKenzieSynopsysVerified email at synopsys.com
Ruby Chiu-Hsing WengProfessor of Statistics, National Chengchi UniversityVerified email at nccu.edu.tw
Cheng-Hao TsaiNational Taiwan UniversityVerified email at ntu.edu.tw
Chi-Jen LuResearch Fellow, Institute of Information Science, Academia SinicaVerified email at iis.sinica.edu.tw
Shang-Tse ChenAssistant Professor, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Yao-Nan ChenAppierVerified email at csie.ntu.edu.tw
Chia-Hua HoNational Taiwan UniversityVerified email at csie.ntu.edu.tw
BUO-FU CHENNational Taiwan UniversityVerified email at ntu.edu.tw
Hsiang-Fu YuComputer Science, University of Texas at AustinVerified email at cs.utexas.edu
Lo Hung-YiChina Steel CorporationVerified email at mail.csc.com.tw
Yu-An ChungMassachusetts Institute of TechnologyVerified email at mit.edu
Farbound TaiColumbia University, National Taiwan UniversityVerified email at columbia.edu
Yao-Yuan YangUniversity of California, San DiegoVerified email at eng.ucsd.edu
Wen-Huang ChengInstitute of Electronics, National Chiao Tung UniversityVerified email at nctu.edu.tw

Hsuan-Tien Lin

Professor of Computer Science and Information Engineering, National Taiwan University

Verified email at csie.ntu.edu.tw - Homepage

Machine Learning Data Mining


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A note on Platt’s probabilistic outputs for support vector machines HT Lin, CJ Lin, RC Weng Machine Learning 68 (3), 267-276, 2007	996	2007
Learning from data YS Abu-Mostafa, M Magdon-Ismail, HT Lin AMLBook, 2012	935	2012
A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods HT Lin, CJ Lin	849	2003
Multilabel classification with principal label space transformation F Tai, HT Lin Neural Computation 24 (9), 2508-2542, 2012	326	2012
Ordinal regression by extended binary classification L Li, HT Lin Advances in neural information processing systems 19, 865, 2007	257	2007
Feature-aware Label Space Dimension Reduction for Multi-label Classification YN Chen, HT Lin Advances in Neural Information Processing Systems 25, 1538-1546, 2012	244	2012
Feature engineering and classifier ensemble for KDD cup 2010 HF Yu, HY Lo, HP Hsieh, JK Lou, TG McKenzie, JW Chou, PH Chung, ... Proceedings of the KDD Cup 2010 Workshop, 1-16, 2010	173	2010
Reduction from cost-sensitive ordinal ranking to weighted binary classification HT Lin, L Li Neural Computation 24 (5), 1329-1367, 2012	105	2012
Active learning by learning WN Hsu, HT Lin Twenty-Ninth AAAI conference on artificial intelligence, 2015	78	2015
An Online Boosting Algorithm with Theoretical Justifications ST Chen, HT Lin, CJ Lu Arxiv preprint arXiv:1206.6422, 2012	74	2012
Unsupervised semantic feature discovery for image object retrieval and tag refinement YH Kuo, WH Cheng, HT Lin, WH Hsu IEEE Transactions on Multimedia 14 (4), 1079-1090, 2012	68	2012
Large-margin thresholded ensembles for ordinal regression: Theory and practice HT Lin, L Li International Conference on Algorithmic Learning Theory, 319-333, 2006	65	2006
A linear ensemble of individual and blended models for music rating prediction PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ... Proceedings of KDD Cup 2011, 21-60, 2012	62	2012
Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning YA Chung, HT Lin, SW Yang arXiv preprint arXiv:1511.09337, 2015	60	2015
One-sided support vector regression for multiclass cost-sensitive classification HH Tu, HT Lin Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010	56	2010
Support vector machinery for infinite ensemble learning HT Lin, L Li Journal of Machine Learning Research 9, 285-312, 2008	48	2008
Multi-label Classification with Error-correcting Codes CS Ferng, HT Lin ACML, 2011	40	2011
Cost-sensitive label embedding for multi-label classification KH Huang, HT Lin Machine Learning 106 (9), 1725-1746, 2017	38	2017
Effective string processing and matching for author disambiguation WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013	38	2013
Condensed filter tree for cost-sensitive multi-label classification CL Li, HT Lin International Conference on Machine Learning, 423-431, 2014	36	2014

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