Titlebook: Analysis and Design of Machine Learning Techniques; Evolutionary Solutio Patrick Stalph Book 2014 Springer Fachmedien Wiesbaden 2014 Human

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Algorithmic Description of XCSFights between kernels, but also optimizes the kernel . 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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https://doi.org/10.1007/978-3-662-26253-5ings. A multitude of algorithm classes are introduced, including simple model fitting, interpolation, and advanced concepts such as Gaussian Processes and Artificial Neural Networks. The last section of this chapter discusses the applicability, but also questions the plausibility of such algorithms

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https://doi.org/10.1007/978-94-010-3037-3ights between kernels, but also optimizes the kernel . 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, an

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Die deutsche Diskussion bis 1945,nd, can be a demanding challenge. In XCSF, the Genetic Algorithm (GA) is responsible for this optimization and the subtle mechanisms in the fitness estimation guide the GA towards a balance between accuracy and generalization. This chapter is concerned with . problems, where XCSF may not find an acc