Yuh-Jye Lee

发表

Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning

Yuh-Jye Lee, Chun-Nan Hsu, Yu-Ming Chang, 2009, Machine Learning.

RSVM: Reduced Support Vector Machines

Yuh-Jye Lee, Olvi L. Mangasarian, O. Mangasarian, 2001, SDM.

SSVM: A Smooth Support Vector Machine for Classification

Yuh-Jye Lee, Olvi L. Mangasarian, O. Mangasarian, 2001, Comput. Optim. Appl..

Breast cancer survival and chemotherapy: A support vector machine analysis

Yuh-Jye Lee, Olvi L. Mangasarian, William H. Wolberg, 1999, Discrete Mathematical Problems with Medical Applications.

Support vector machines in data mining

O. Mangasarian, Yuh-Jye Lee, 2001 .

Local Precipitation Forecast with LSTM for Greenhouse Environmental Control

Yuh-Jye Lee, H. Hsieh, Yi-Wei Chiu, 2020, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI).

Smooth LASSO for Classification

Yuh-Jye Lee, Li-Jen Chien, Zhi-Peng Kao, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

Incremental Forward Feature Selection with Application to Microarray Gene Expression Data

Yuh-Jye Lee, Yuh-Jye Lee, Chien-Chung Chang, 2008, Journal of biopharmaceutical statistics.

A Data Mining Application to Leukemia Microarray Gene Expression Data Analysis

Yuh-Jye Lee, Chia-Huang Chao, 2003 .

Performance Analysis of Semi-supervised Intrusion Detection System

Yuh-Jye Lee, V. K. Pachghare, Chien-Yi Chiu, 2011 .

Incremental Reduced Support Vector Machines

Su-Yun Huang, Yuh-Jye Lee, Hung-Yi Lo, 2001 .

Special Issue on Technologies and Applications of Artificial Intelligence Foreword

Tsan-sheng Hsu, Yuh-Jye Lee, I-Chen Wu, 2012 .

Proceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010: Messages from conference chairs and program chairs

Yuh-Jye Lee, Irwin King, Chun Nan Hsu, 2010 .

SSVM: A Amooth Support Vector Machine for Classification

Yuh-Jye Lee, Olvi Mangasarian, O. Mangasarian, 1999 .

Rejoinder to 'Statistical learning methods for information security: fundamentals and case studies'

Yuh-Jye Lee, Hsing-Kuo Pao, Chun-Ying Huang, 2015 .

Distributed Consensus Reduced Support Vector Machine

Yuh-Jye Lee, Hsiang-Hsuan Chen, Yuh-Jye Lee, 2019, 2019 IEEE International Conference on Big Data (Big Data).

An RSVM based two-teachers-one-student semi-supervised learning algorithm

Hsing-Kuo Kenneth Pao, Yuh-Jye Lee, Chien-Chung Chang, 2012, Neural Networks.

Reduced Support Vector Machines: A Statistical Theory

Su-Yun Huang, Yuh-Jye Lee, Yuh-Jye Lee, 2007, IEEE Transactions on Neural Networks.

A novel framework for multi-class classification via ternary smooth support vector machine

Chih-Cheng Chang, Yuh-Jye Lee, Li-Jen Chien, 2011, Pattern Recognit..

A Passive-Aggressive Algorithm for Semi-supervised Learning

Yuh-Jye Lee, Hsing-Kuo Pao, Chien-Chung Chang, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression

Su-Yun Huang, Yuh-Jye Lee, Yi-Ren Yeh, 2009, IEEE Transactions on Knowledge and Data Engineering.

Big active learning

Er-Chen Huang, Hsing-Kuo Kenneth Pao, Yuh-Jye Lee, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Survival-Time Classification of Breast Cancer Patients

Yuh-Jye Lee, Olvi L. Mangasarian, William H. Wolberg, 2003, Comput. Optim. Appl..

Semi-supervised Learning for False Alarm Reduction

Yuh-Jye Lee, Hsiu-Chuan Huang, Chien-Yi Chiu, 2010, ICDM.

Two smooth support vector machines for ε-insensitive regression

Jein-Shan Chen, Chun-Hsu Ko, Yuh-Jye Lee, 2017 .

Multiclass support vector classification via coding and regression

Kuang-Yao Lee, Su-Yun Huang, Yuh-Jye Lee, 2010, Neurocomputing.

A Hierarchical Framework Using Approximated Local Outlier Factor for Efficient Anomaly Detection

Jing Li, Yuh-Jye Lee, Lin Xu, 2013, ANT/SEIT.

Anomaly Detection via Online Oversampling Principal Component Analysis

Yuh-Jye Lee, Yu-Chiang Frank Wang, Yi-Ren Yeh, 2013, IEEE Transactions on Knowledge and Data Engineering.

Connected vehicle safety science, system, and framework

Shou-De Lin, Yi-Ping Hung, Kuan-Wen Chen, 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

Statistical learning methods for information security: fundamentals and case studies

Yuh-Jye Lee, Hsing-Kuo Pao, Chun-Ying Huang, 2015 .

Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies

Yuh-Jye Lee, Yi-Ren Yeh, Wolfgang Härdle, 2009 .

Continuous Monitoring and Distributed Anomaly Detection for Ambient Factors

Yuh-Jye Lee, Yi-Ren Yeh, Alvin Chiang, 2014, 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom).

epsilon-SSVR: A Smooth Support Vector Machine for epsilon-Insensitive Regression

Yuh-Jye Lee, Wen-Feng Hsieh, Chien-Ming Huang, 2005, IEEE Trans. Knowl. Data Eng..

Efficient traffic speed forecasting based on massive heterogenous historical data

Hsing-Kuo Kenneth Pao, Yuh-Jye Lee, Xing-Yu Chen, 2014, 2014 IEEE International Conference on Big Data (Big Data).

ChainSpot: Mining Service Logs for Cyber Security Threat Detection

Jain-Shing Wu, Yuh-Jye Lee, Chih-Hung Hsieh, 2016, 2016 IEEE Trustcom/BigDataSE/ISPA.

Ranking the Rules and Instances of Decision Trees

Yuh-Jye Lee, Yi-Ren Yeh, Yuh-Jye Lee, 2006, ICDM.

Detecting In Situ Identity Fraud on Social Network Services: A Case Study With Facebook

Yuh-Jye Lee, Kuan-Ta Chen, Chun-Hsiung Tseng, 2017, IEEE Systems Journal.

Is Somebody Watching Your Facebook Newsfeed? pdf

Yuh-Jye Lee, Kuan-Ta Chen, Chun-Hsiung Tseng, 2013, ArXiv.

A study on anomaly detection ensembles

Yuh-Jye Lee, Esther David, Yi-Ren Yeh, 2017, J. Appl. Log..

Model selection for support vector machines via uniform design

Su-Yun Huang, Yuh-Jye Lee, Dennis K. J. Lin, 2007, Comput. Stat. Data Anal..

Periodic Step Size Adaptation for Single Pass On-line Learning

Yuh-Jye Lee, Chun-Nan Hsu, Yu-Ming Chang, 2009, NIPS.

Solving Nonlinear SVM in Linear Time? A Nyström Approximated SVM with Applications to Image Classification

Yuh-Jye Lee, Yu-Chiang Frank Wang, Yi-Ren Yeh, 2013, MVA.

A three-tier IDS via data mining approach

Yuh-Jye Lee, Tsung-Ju Lee, Tsong Song Hwang, 2007, MineNet '07.

Model Trees for Classification of Hybrid Data Types

Hsing-Kuo Kenneth Pao, Yuh-Jye Lee, Shou-Chih Chang, 2005, IDEAL.

Model Trees for Hybrid Data Type Classiﬁcation

H. Pao, Yuh-Jye Lee, Shou-Chih Chang, 2005 .

Rank-r Updating Techniques for Fast Exact Cross-Validation

Yuh-Jye Lee, Yi-Cheng Tseng, Yuh-Jye Lee, 2011, ICDM.

A Distributed Ensemble Scheme for nonlinear Support Vector Machine

Yuh-Jye Lee, Po-Han Huang, Wei-Chih Lai, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

A Review of Reduced Kernel Trick in Machine Learning

Su-Yun Huang, Yuh-Jye Lee, Hsing-Kuo Pao, 2014 .

Introduction to Support Vector Machines and Their Applications in Bankruptcy Prognosis

Yuh-Jye Lee, Hsing-Kuo Pao, Yi-Ren Yeh, 2012 .

The Default Risk of Firms Examined with Smooth Support Vector Machines

Yuh-Jye Lee, Yi-Ren Yeh, Wolfgang Härdle, 2007 .

A Comprehensive Survey on Online Anomaly Detection

Christian Callegari, Stefano Giordano, Michele Pagano, 2015 .

Anomaly detection via over-sampling principal component analysis

Yuh-Jye Lee, Yi-Ren Yeh, Zheng-Yi Lee, 2009 .

Smooth Support Vector Machines

M. Ferris, J. Shavlik, O. Mangasarian, 2007 .

Malicious URL Detection Based on Kolmogorov Complexity Estimation

Hsing-Kuo Kenneth Pao, Yuh-Jye Lee, Yan-Lin Chou, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Model Trees for Classification of Hybrid Data Types

H. Pao, Yuh-Jye Lee, Shou-Chih Chang, 2005, IDEAL.