Yuh-Jye Lee, Ph.D.
Affiliations: | 2001 | University of Wisconsin, Madison, Madison, WI |
Area:
Computer ScienceGoogle:
"Yuh-Jye Lee"Parents
Sign in to add mentorOlvi L. Mangasarian | grad student | 2001 | UW Madison | |
(Support vector machines in data mining.) |
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Publications
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Pao HK, Lee YJ, Huang CY. (2015) Rejoinder to 'Statistical learning methods for information security: Fundamentals and case studies' Applied Stochastic Models in Business and Industry. 31: 119-121 |
Lee Y, Yeh Y, Wang YF. (2013) Anomaly Detection via Online Oversampling Principal Component Analysis Ieee Transactions On Knowledge and Data Engineering. 25: 1460-1470 |
Xu L, Yeh Y, Lee Y, et al. (2013) A Hierarchical Framework Using Approximated Local Outlier Factor for Efficient Anomaly Detection Procedia Computer Science. 19: 1174-1181 |
Chang CC, Pao HK, Lee YJ. (2012) An RSVM based two-teachers-one-student semi-supervised learning algorithm. Neural Networks : the Official Journal of the International Neural Network Society. 25: 57-69 |
Chang C, Chien L, Lee Y. (2011) A novel framework for multi-class classification via ternary smooth support vector machine Pattern Recognition. 44: 1235-1244 |
Lee Y. (2010) Support vector machines for classification: a statistical portrait. Methods in Molecular Biology (Clifton, N.J.). 620: 347-68 |
Chien L, Chang C, Lee Y. (2010) Variant Methods of Reduced Set Selection for Reduced Support Vector Machines Journal of Information Science and Engineering. 26: 183-196 |
Chen P, Lee K, Lee T, et al. (2010) Multiclass support vector classification via coding and regression Neurocomputing. 73: 1501-1512 |
Yeh Y, Huang S, Lee Y. (2009) Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression Ieee Transactions On Knowledge and Data Engineering. 21: 1590-1603 |
Hsu CN, Huang HS, Chang YM, et al. (2009) Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning Machine Learning. 77: 195-224 |