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MILCS: A mutual information learning classifier system

Smith, RE; Jiang, MK; (2007) MILCS: A mutual information learning classifier system. In: (pp. pp. 2945-2952). Green open access

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Abstract

This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifically designed for supervised learning. MILCS's design draws on an analogy to the structural learning approach of cascade correlation networks. We present preliminary results, and contrast them to results from XCS. We discuss the explanatory power of the resulting rule sets, and introduce a new technique for visualizing explanatory power. Final comments include future directions for this research, including investigations in neural networks and other systems. Copyright 2007 ACM.

Type: Proceedings paper
Title: MILCS: A mutual information learning classifier system
ISBN: 159593698X
ISBN-13: 9781595936981
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/1274000.1274063
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/16132
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