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Accuracy Based Learning Classifier Systems: Models, Analysis and ...

Recently, Learning Classifier Systems (LCS) and particularly XCS have arisen as promising methods for classification tasks and data mining. This paper...

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Dynamic system classifier

Jan 28, 2016 ... To this end, we develop a dynamic system classifier (DSC). The DSC first abstracts training data of a system in terms of time dependent...

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Metacognition in Software Agents Using Classifier Systems

Abstract. Software agents living and acting in a real world software environment, such as an operating system, a network, or a database system, can carry out...

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uRule: A Rule based Classification System for Uncertain Data iupui

AbstractData uncertainty is common in real world appli cations. Various reasons lead to data uncertainty, including imprecise measurements, network latency...

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Evade Hard Multiple Classifier Systems Semantic Scholar

Evade Hard Multiple Classifier Systems. Battista Biggio and Giorgio Fumera and Fabio Roli 1. Abstract. Multiple classifier systems are widely used in security.

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