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A computationally and cognitively plausible model of supervised and unsupervised learning

By David Martin Powers


Author version made available in accordance with the publisher's policy. "The final publication is available at”The issue of chance correction has been discussed for many decades in the context of\ud statistics, psychology and machine learning, with multiple measures being shown to\ud have desirable properties, including various definitions of Kappa or Correlation, and\ud the psychologically validated ΔP measures. In this paper, we discuss the relationships\ud between these measures, showing that they form part of a single family of measures,\ud and that using an appropriate measure can positively impact learning

Publisher: Springer-Verlag
Year: 2013
DOI identifier: 10.1007/978-3-642-38786-9_17
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