Workshop on Yin-Yang Computation for
Brain, Behavior and Machine Learning
http://www.gsu.edu/images/Downloadables/GaStateMap1104.pdf
The workshop on Yin-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 Yin-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 Yin-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
Yin-Yang (YinYang, Yin Yang or
Ying Yang) Computation is a scientific computing methodology by extracting
useful mathematical models from a traditional Yin-Yang theory. In recent years,
a formal scientific basis has emerged that uncovered Yin-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. Yin 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 Yin 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):
• Yin-Yang neural
networks
• Yin-Yang kernel machines
• Yin-Yang mathematics
• Yin-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 Yin-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) |