A mathematical framework for studying learning in classifier systems

DOI10.1016/0167-2789(86)90301-4zbMath0635.68093OpenAlexW1971490797MaRDI QIDQ1097707

No author found.

Publication date: 1986

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-2789(86)90301-4

zbMATH Keywords

adaptive algorithmsmachine learningclassifier systemsderived Markov processesexploitable bias

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) General biology and biomathematics (92B05)

Related Items (1)

Simulation of HIV infection in artificial immune systems

This page was built for publication: A mathematical framework for studying learning in classifier systems