Allow me to begin the "discussion" (we do hope that there will be one :-))
by explaining the need for it.
Many of the target audience have extensive experience and pretty good understanding of pattern classification in the context of learning from a training set. There are many solutions (e.g ID3, C5, Neural Nets, Support Vector Machines, and many other.) There are benchmark data sets available on the WWW, such as the UCI repository of Machine Learning Database.
I have two questions, the answers to which may motivate people to study Evolving Transformation Systems (ETS):
- Are ETS applicable to such problems?
- Is there published material that contains experimental results that show how ETS is applied and how well it performs on benchmark data sets.
Regards,
Shlomo
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Shlomo Geva, PhD
Associate Director, Smart Devices Laboratory
School of Computing Science and Software Engineering
Faculty of Information Technology
Queensland University of Technology
4/126 Margaret Street
Brisbane Q 4001
Phone: (07) 3864-9326 Fax: (07) 3864-1801 Room: MSt 304
Email: [EMAIL PROTECTED]
Visitors need to approach the QUT CSSE reception desk
on level 4, 126 Margaret St.
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