Hsuan-Tien Lin
Hsuan-Tien Lin
Professor of Computer Science and Information Engineering, National Taiwan University
Verified email at - Homepage
Cited by
Cited by
Learning from data
YS Abu-Mostafa, M Magdon-Ismail, HT Lin
AMLBook, 2012
A note on Platt’s probabilistic outputs for support vector machines
HT Lin, CJ Lin, RC Weng
Machine learning 68, 267-276, 2007
A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods
HT Lin, CJ Lin
Multilabel classification with principal label space transformation
F Tai, HT Lin
Neural Computation 24 (9), 2508-2542, 2012
Ordinal regression by extended binary classification
L Li, HT Lin
Advances in neural information processing systems 19, 865, 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
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
Active learning by learning
WN Hsu, HT Lin
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Cold-start Active Learning through Self-supervised Language Modeling
M Yuan, HT Lin, J Boyd-Graber
arXiv preprint arXiv:2010.09535, 2020
Reduction from cost-sensitive ordinal ranking to weighted binary classification
HT Lin, L Li
Neural Computation 24 (5), 1329-1367, 2012
Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks
BF Chen, B Chen, HT Lin, RL Elsberry
Weather and Forecasting 34 (2), 447-465, 2019
Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning
YA Chung, HT Lin, SW Yang
arXiv preprint arXiv:1511.09337, 2015
An Online Boosting Algorithm with Theoretical Justifications
ST Chen, HT Lin, CJ Lu
Arxiv preprint arXiv:1206.6422, 2012
Refuel: Exploring sparse features in deep reinforcement learning for fast disease diagnosis
YS Peng, KF Tang, HT Lin, E Chang
Advances in neural information processing systems 31, 7322-7331, 2018
Cost-sensitive label embedding for multi-label classification
KH Huang, HT Lin
Machine Learning 106, 1725-1746, 2017
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
Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression
B Chen, BF Chen, HT Lin
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Large-margin thresholded ensembles for ordinal regression: Theory and practice
HT Lin, L Li
International Conference on Algorithmic Learning Theory, 319-333, 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
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
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