Abstract
As mentioned in the introductory chapter, for the classification tasks we aim to evolve thresholds for the attributes of the given data training examples. Such vectors of thresholds will be constructed for each class of the problem and we will further refer to them as prototypes. They will efficiently represent the class distributions and therefore well discriminate objects of different labels.
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© 2014 Springer International Publishing Switzerland
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Stoean, C., Stoean, R. (2014). Genetic Chromodynamics. In: Support Vector Machines and Evolutionary Algorithms for Classification. Intelligent Systems Reference Library, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-319-06941-8_4
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DOI: https://doi.org/10.1007/978-3-319-06941-8_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06940-1
Online ISBN: 978-3-319-06941-8
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