Workshop on Ying-Yang Computation for
Brain, Behavior and Machine Learning
http://www.gsu.edu/images/Downloadables/GaStateMap1104.pdf
The workshop on Ying-Yang
Computation for Brain, Behavior and Machine Learning, sponsored by the Brains&Behavior program
(http://biology.gsu.edu/brains&behavior/index.html)
at Georgia State University and the NIH P20 grant,
is focused on Ying-Yang Computation and its applications in brains&behavior,
machine learning, bioinformatics, medical informatics, and health. To
continue to promote the hybrid research and its applications, the special
session on Ying-Yang Computation for Brain, Behavior and Machine Learning (http://www.cs.gsu.edu/~cscyqz/conf/CFP-SS2005.htm) at the Second International Conference on
Neural Networks and Brain (ICNN&B2005, http://cnnc.org.cn/) will be held in
Ying-Yang (Yin-Yang, YinYang, Yin Yang or Ying Yang) Computation is a scientific
computing methodology by extracting useful mathematical models from a
traditional Ying-Yang theory. In recent years, a formal scientific basis has
emerged that uncovered Ying-Yang to a universal theoretical methodology for
different sciences and applications such as analytical methodology,
divide-and-conquer, decision and coordination, brain science, biology,
medicine, balance and harmony in human health and complex systems under
uncertainty, etc. Ying and Yang, the two fundamental components of Taichi,
are two symmetrical and complementary coexisting aspects of one matter that are
mutually coupled in an equilibrium or even a harmony to jointly face a same
world with shared tasks. The balance or harmony between Ying and Yang is
important and crucial to various complex systems such as the human brain and the human body in terms of stability, reliability, health, and
robustness.
Relevant
Research Areas (but are not limited to):
•
Ying-Yang neural networks
• Ying-Yang kernel machines
• Ying-Yang mathematics
• Ying-Yang statistics
• neurons & networks
• adaptability & behavior
• brains &
social behavior
• molecules & brains
• neural networks,
granular neural networks, statistical neural networks
• evolutionary
computation, genetic algorithms, genetic neural networks
• statistical learning, support vector machines
• machine learning, data
mining and knowledge discovery
•
bioinformatics
•
medical informatics and health systems
Registation: Please send an email to Bo Jin at bojin@gsu.edu by Thursday (8/25) if you’d like
to attend the workshop.
|
Workshop Registration Chair Bo Jin, Department of Computer Science, Georgia
State University, bojin@gsu.edu |
|
Workshop Chair Yan-Qing Zhang, Department of Computer Science, Georgia State University,
yzhang@cs.gsu.edu |
|
Workshop Schedule (Room NSC441, Tuesday, Aug. 30,
2005) |
|
9:00 – 9:02
a.m.: Opening Remarks (Dr. Yi Pan, Chair of
Department of Computer Science, |
|
9:02 – 9:05
a.m.: Workshop Introduction (Dr. Yan-Qing
Zhang, Department of Computer Science, GSU) |
|
9:05 – 9:40
a.m.: “Reverse-engineering animals and their nervous
systems,” (Dr. Donald Edwards, Director of the Brains&Behavior
Program, Department of Biology, GSU) |
|
9:40 –
10:15 a.m.: “Statistical Learning on Knowledge Discovery and
Problem Solving: Fundamentals, Challenges, and A Unified Theory,” (Dr.
Lei Xu, IEEE Fellow, IAPR Fellow, Member of
European Academy of Sciences, Chinese University of Hong Kong) |
|
10:15 –
10:25 a.m.: Break |
|
10:25 –
11:00 a.m.: “A
binary classifier based on Ying-Yang concepts,” (Dr. Hyunsoo
Kim, Georgia Tech) |
|
11:00 –
11:35 p.m.: “Bipolar YinYang and Its Application in
Neurological Modeling and Biomedical Research,” (Dr. Wen-Ran |
|
11:35 –
12:15 p.m.: “Tai
Chi and Health,” (Dr. Tingsen Xu,
President of Tai Chi Health and Research Association, President of Tai
Chi Research Center, Tai Chi Grand Master, Dr. Bob Wells, Emory University,
and Dr. Yong Tai Wang, GSU) |