Connectionist symbolic processing

[Joachim Diederich]

As a follow-up to Michael Healy's note on rule-extraction from
neural networks, here are two more recent papers on the topic:

Maire, F.:
A partial order for the M-of-N rule-extraction algorithm.
IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol. 8, No .6, pages 1542-1544,
November 1997.

Tickle, A.B.; Andrews, R.; Golea, M.; Diederich, J.:
The truth will come to light: directions and challenges in extracting
the knowledge embedded within trained artificial neural networks.
IEEE TRANSACTION ON NEURAL NETWORKS. Special Issue on Hybrid Systems.
Scheduled for November 1998.

We have a limited number of pre-prints available.

Joachim Diederich

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Professor Joachim ("Joe") Diederich 
Director		Machine Learning Research Centre (MLRC)
			Neurocomputing Laboratory / Data Mining Laboratory
		        Queensland University of Technology
 _--_|\                 Box 2434, Brisbane Q 4001
/      QUT              AUSTRALIA
\_.--._/     		Phone: +61 7 3864-2143
      v	                Fax:   +61 7 3864-1801
E-mail: joachim at fit.qut.edu.au  or joachim at icsi.berkeley.edu
WEB: http://www.fit.qut.edu.au/~joachim
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