Yuh-Jye Lee

Chien-Chung Chang, Hsing-Kuo Pao, Yuh-Jye Lee: An RSVM based two-teachers-one-student semi-supervised learning algorithm. Neural Networks 25: 57-69 (2012)

Ding-Jie Huang, Kai-Ting Yang, Chien-Chun Ni, Wei-Chung Teng, Tien-Ruey Hsiang, Yuh-Jye Lee: Clock Skew Based Client Device Identification in Cloud Environments. AINA 2012: 526-533

Chih-Cheng Chang, Li-Jen Chien, Yuh-Jye Lee: A novel framework for multi-class classification via ternary smooth support vector machine. Pattern Recognition 44(6): 1235-1244 (2011)

Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, Yu-Chiang Frank Wang: Locality-constrained group sparse representation for robust face recognition. ICIP 2011: 761-764

Yi-Cheng Tseng, Yuh-Jye Lee: Rank-r Updating Techniques for Fast Exact Cross-Validation. Industrial Conference on Data Mining - Poster and Industry Proceedings 2011: 54-67

Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang: Multiclass support vector classification via coding and regression. Neurocomputing 73(7-9): 1501-1512 (2010)

Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee: Variant Methods of Reduced Set Selection for Reduced Support Vector Machines. J. Inf. Sci. Eng. 26(1): 183-196 (2010)

Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Cheng Chang: Robust 1-Norm Soft Margin Smooth Support Vector Machine. IDEAL 2010: 145-152

Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo, Hsiu-Chuan Huang: Semi-supervised Learning for False Alarm Reduction. ICDM 2010: 595-605

Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang, Yuh-Jye Lee: Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. Machine Learning 77(2-3): 195-224 (2009)

Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee: Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression. IEEE Trans. Knowl. Data Eng. 21(11): 1590-1603 (2009)

Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang, Yuh-Jye Lee: Periodic Step Size Adaptation for Single Pass On-line Learning. NIPS 2009: 763-771

Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, Su-Yun Huang: Model selection for support vector machines via uniform design. Computational Statistics & Data Analysis 52(1): 335-346 (2007)

Yuh-Jye Lee, Su-Yun Huang: Reduced Support Vector Machines: A Statistical Theory. IEEE Transactions on Neural Networks 18(1): 1-13 (2007)

Tsong Song Hwang, Tsung-Ju Lee, Yuh-Jye Lee: A three-tier IDS via data mining approach. MineNet 2007: 1-6

Yuh-Jye Lee, Yi-Ren Yeh: Ranking the Rules and Instances of Decision Trees. Industrial Conference on Data Mining - Posters 2006: 67-78

Yuh-Jye Lee, Wen-Feng Hsieh, Chien-Ming Huang: epsilon-SSVR: A Smooth Support Vector Machine for epsilon-Insensitive Regression. IEEE Trans. Knowl. Data Eng. 17(5): 678-685 (2005)

Hsing-Kuo Pao, Shou-Chih Chang, Yuh-Jye Lee: Model Trees for Classification of Hybrid Data Types. IDEAL 2005: 32-39

Lih-Ren Jen, Yuh-Jye Lee: Clustering Model Selection for Reduced Support Vector Machines. IDEAL 2004: 714-719

Chien-Chung Chang, Yuh-Jye Lee: Generating the Reduced Set by Systematic Sampling. IDEAL 2004: 720-725

Yuh-Jye Lee, Olvi L. Mangasarian, W. H. Wolberg: Survival-Time Classification of Breast Cancer Patients. Comp. Opt. and Appl. 25(1-3): 151-166 (2003)

Yuh-Jye Lee, O. L. Mangasarian: SSVM: A Smooth Support Vector Machine for Classification. Comp. Opt. and Appl. 20(1): 5-22 (2001)