NeuroCOLT

Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-95-035

A Minimal Length Encoding System

Tony Bellotti
London Electricity plc

Alex Gammerman
Royal Holloway, University of London

Abstract
Emily is a project to develop a computer system that can organise symbolic knowledge given in a high-level relational language, based on the principle of minimal length encoding (MLE). The purpose of developing this system is to test the hypothesis that minimal length encoding can be used as a general method for induction. A prototype version, Emily2, has already been implemented. It is the purpose of this paper to describe this system, to present some of our results and to indicate future developments.

 

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