TC Leadership
Our Goal
Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn users’ interests. Machine learning algorithms and systems include:
- Concept Learning and the General-to-Specific Ordering
- Decision Tree Learning
- Artificial Neural Networks
- Evaluating Hypotheses
- Bayesian Learning
- Computational Learning Theory
- Instance-Based Learning
- Genetic Algorithms
- Learning Sets of Rules
- Analytical Learning
- Combining Inductive and Analytical Learning
- Reinforcement Learning
Members
- Patrick P.K. Chan, The Hong Kong Polytechnic University, Hong Kong
- Shyi-Ming Chen, National Taiwan University of Science and Technology, Taiwan
- M. Cheriet, Centre for Pattern Recognition and Machine Intelligence, Canada
- Jyh-Horng Chou, National Kaohsiung First University of Science and Technology and National Kaohsiung University of Applied Sciences, Taiwan
- Stan Klasa, Concordia University, Canada
- Loi Lei Lai, City University London, UK
- Seong-Whan Lee, Korea University, Korea
- Xuelong Li, University of London, UK
- Chih-Min Lin, Yuan-Ze University, Taiwan
- Jiming Liu, Hong Kong Baptist University, Hong Kong
- Wing Yin Ng, South China University of Technology, China
- Vasile Palade, University of Oxford, UK
- Daming Shi, Nanyang Technological University, Singapore
- Eric C.C. Tsang, The Hong Kong Polytechnic University, Hong Kong
- Xizhao Wang, Hebei University, China
- M. Arif Wani, Cal State University Bakersfield, USA
- Yiming Ye, IBM T. J. Watson Research Center, USA
- Xiaoqin Zeng, Hohai University, China
- Ning Zhong, Maebashi Institute of Technology, Japan
Recent Activities
- Organized an invited sessions/tracks on “Wavelet Analysis and Application to Intelligent Systems” in the International Conference on Machine Leaning and Cybernetics 2006.
- Organized “The Fifrth International Conference on Wavelet Analysis and Its Applications”, which will be held in Beijing, China, in November 2006.
- In collaboration with International Associate of Pattern Recognition (IAPR), organized “the 18th International Conference on Pattern Recognition (ICPR’06)” in Hong Kong in August 2006.
- In collaboration with other Cybernetics Technical Committees, organized “The Fifth International Conference on Machine Leaning and Cybernetics 2006” (ICMLC’06), which will be held in China, in August 2006.
- In collaboration with other Cybernetics Technical Committees, we organized “The Fourth International Conference on Machine Leaning and Cybernetics 2005” (ICMLC’05) in Guangzhou, China, in August 2005
- We organized “The Fourth International Conference on Wavelet Analysis and Its Applications” in Macau in November 2005.
- In collaboration with International Associate of Pattern Recognition (IAPR), we organized “the 8th International Conference on Document Analysis and Recognition (ICDAR’06)” in Seoul, Korea, in August 2005.
- In collaboration with IEEE Hong Kong Computational Intelligence Chapter, we organized “2005 International Conference on Intelligent Computing (ICIC’05)” in Hefei, China, in August 2005.
- An IEEE Transactions Special Issue is currently under planning.
Join Us
- Interact with scientists and engineers in machine learning, which is a relatively new and rapidly growing research field and is widely used in many other research areas.
- Participate in interesting conferences and workshops to exchange research ideas and results with scientists and engineers in the world.
- Make friends from different regions of the world.
