Abstract
With the three elementary features at hand, it is now time to take a detailed look at one such local learning algorithm that not only optimizes the weights between kernels, but also optimizes the kernel shape to further improve prediction accuracy. The XCSF algorithm is a so called Learning Classifier System (LCS), where a Genetic Algorithm (GA) optimizes a population of rules. A rule consists of a kernel with particular location, shape, and size, and a local model for the corresponding subspace.
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© 2014 Springer Fachmedien Wiesbaden
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Stalph, P. (2014). Algorithmic Description of XCSF. In: Analysis and Design of Machine Learning Techniques. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-04937-9_4
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DOI: https://doi.org/10.1007/978-3-658-04937-9_4
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Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-04936-2
Online ISBN: 978-3-658-04937-9
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