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Titlebook: Learning Classifier Systems; International Worksh Tim Kovacs,Xavier Llorà,Stewart W. Wilson Conference proceedings 2007 Springer-Verlag Ber

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楼主: 异国
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A Formal Relationship Between Ant Colony Optimizers and Classifier Systemsper suggests that there may be a new role for classifier systems in optimization, inspired by the way that ant colony optimizers have achieved their successes. The paper also suggests that there may be ways suggested by classifier systems to modify ant colony optimization practice.
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The Class Imbalance Problem in UCS Classifier System: A Preliminary Studytems. Particularly we focus our study on UCS, a supervised version of XCS classifier system. We analyze UCS’s behavior on unbalanced datasets and find that UCS is sensitive to high levels of class imbalance. We study strategies for dealing with class imbalances, acting either at the sampling level or at the classifier system’s level.
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Backpropagation in Accuracy-Based Neural Learning Classifier Systemsality, performance is presented from using backpropagation in a number of ways within the system. Results from both continuous and discrete action tasks indicate that significant decreases in the time taken to reach optimal behaviour can be obtained from the incorporation of the local learning algorithm.
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