Strategies and Techniques to Combat Over-Generality in a Learning Classifier System

P. Dixon, David Corne, M. Oates

Research output: Contribution to conferencePaper

Original languageEnglish
Publication statusPublished - 2004
EventProc. Of the 2003 International Workshop on Learning Classifier Systems -
Duration: 1 Jan 2004 → …

Conference

ConferenceProc. Of the 2003 International Workshop on Learning Classifier Systems
Period1/01/04 → …

Cite this

Dixon, P., Corne, D., & Oates, M. (2004). Strategies and Techniques to Combat Over-Generality in a Learning Classifier System. Paper presented at Proc. Of the 2003 International Workshop on Learning Classifier Systems, .
Dixon, P. ; Corne, David ; Oates, M. / Strategies and Techniques to Combat Over-Generality in a Learning Classifier System. Paper presented at Proc. Of the 2003 International Workshop on Learning Classifier Systems, .
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title = "Strategies and Techniques to Combat Over-Generality in a Learning Classifier System",
author = "P. Dixon and David Corne and M. Oates",
year = "2004",
language = "English",
note = "Proc. Of the 2003 International Workshop on Learning Classifier Systems ; Conference date: 01-01-2004",

}

Dixon, P, Corne, D & Oates, M 2004, 'Strategies and Techniques to Combat Over-Generality in a Learning Classifier System', Paper presented at Proc. Of the 2003 International Workshop on Learning Classifier Systems, 1/01/04.

Strategies and Techniques to Combat Over-Generality in a Learning Classifier System. / Dixon, P.; Corne, David; Oates, M.

2004. Paper presented at Proc. Of the 2003 International Workshop on Learning Classifier Systems, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Strategies and Techniques to Combat Over-Generality in a Learning Classifier System

AU - Dixon, P.

AU - Corne, David

AU - Oates, M.

PY - 2004

Y1 - 2004

M3 - Paper

ER -

Dixon P, Corne D, Oates M. Strategies and Techniques to Combat Over-Generality in a Learning Classifier System. 2004. Paper presented at Proc. Of the 2003 International Workshop on Learning Classifier Systems, .