NIPS*96 Rule Extraction W'Shop

[Robert Andrews]

			   Tenth Annual Conference on

			NEURAL INFORMATION PROCESSING SYSTEMS


		RULE EXTRACTION FROM TRAINED ARTIFICIAL NEURAL NETWORKS
			Snowmass, CO.  Friday Dec 6th 1996

WORKSHOP PROGRAMME

7:00 - 7:30	Rule Refinement and Local Function Networks
		Robert Andrews (Queensland University of Technology)

7:30 - 8:00	A Systematic Method for Decompositional Rule
		Extaction From Neural Networks
		R. Krishnan (Centre for AI and Robotics)

8:00 - 8:30	Rule Extraction as Learning
		Mark Craven (Carnegie Mellon University)

8:30 - 9:00	MITER: Mutual Information and Template for
		Extracting Rules
		Tayeb Nedjari (Institut Galilee, Univ Paris Nord)

9:00 - 9:30	Recurrent Neural Networks and Rule Extraction
		Lee Giles (NEC Research Institute, Princeton)

9:30 - 10:00	Beyond Finite State Machines: Steps Towards Representing 
		and Extracting Context Free Languages From Recurrent 
		Neural Networks 
		Janet Wiles (University of Queensland)


4:00 - 4:30	Explanation Based Generalisation and Connectionist Systems 
		Joachim Diederich (Queensland University of Technology)

4:30 - 5:00	Law Discovery Using Neural Networks
		Kazumi Saito (NTT Communication Laboratories)

5:00 - 5:30	A Comparison Between Two Rule Extraction Methods for 
		Continuous Input Data 
		Ishwar Sethi (Wayne State University)

5:30 - 7:00	Panel Discussion
                Panel Members: R Andrews, J Diederich, L Giles,
                               M Craven, I Sethi, J Wiles