🚀 go-pugleaf

         ACS NSW AISIG - Artificial Intelligence - Monthly Meeting

Date: Wednesday 25th July 2001.

Time: 6:30pm till 8:00pm & dinner afterwards.

Topic: TClass: A supervised, comprehensible concept learner for 
              multivariate time series

 TClass is a learner specifically designed for application to 
 supervised temporal domains.  As such, it eschews the more 
 traditional attribute-value format. Rather, each instance is 
 represented as a multivariate time series.  The objective is 
 to learn to classify different types of time series and to
 produce comprehensible descriptions of learnt concepts.
 Typical (and tested) application domains include: sign language 
 recogniton, ECG classification and isolated word recognition. 
 Its key novel contributions are that it produces human-readable 
 definitions, high levels of accuracy and good data efficiency 
 (learnt concepts require fewer training examples than traditional 
 techniques to produce high levels of accuracy).

Speaker: Mohammed Waleed Kadous
                  School of Computer Science and Engineering
                  University of New South Wales

Scope of the Group:
       to maintain and acquire knowledge about the changing focus of 
          leading edge research and technology transfer

          Evolutionary programming     Soft computing      Complexity
Biotechnology          Ethics      Privacy        Knowledge management
             Networks         Agent technology         Induction
Model-based reasoning         Neuro-Fuzzy         Case Based Reasoning
             Ontologies          Philosophy             Cognition


Place: ACS NSW Offices, 3rd floor PSA House
                        160 Clarence Street, Sydney

       between Market & King Streets, closer to Town Hall than Wynyard
       behind the Bowler's Club.

Contact: Michael Williams (02) 829-6279 (work)
                           email: michaelw@acslink.net.au
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