Titlebook: New Foundations for Information Theory; Logical Entropy and David Ellerman Book 2021 The Author(s), under exclusive license to Springer Na

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David Ellermanhieve a more global and critical view of the discipline and will also be invaluable for all scholars of the history of mechanics.978-3-319-38272-2978-3-319-05524-4Series ISSN 1869-8433 Series E-ISSN 1869-8441

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David Ellermanults of the thesis. In particular, it develops a taxonomy of different rule types and considers the conditions under which they may occur. In order to do so an extreme simplification of the classifier system is made, which forces us towards qualitative rather than quantitative analysis. We begin wit

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David Ellermanerate risk scores for a range of adverse events. These methods are in contrast to other risk-based assessment strategies, such as actuarial approaches or Structured Decision Making methods commonly used in child welfare services. PRM tools draw on existing historic data to construct and validate lat

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David Ellermanhoods (i.e., the risks and resources families encounter within the neighborhoods in which the live). These methods typically involve linkage of geocoded home address coordinates to identify geographic areas (e.g., zip code or census tracts) with child welfare administrative data sources, permitting

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The Compound Notions for Logical and Shannon Entropies,Shannon entropy are derived via the dit-bit transform. Moreover, a number of other notions of divergence, cross entropy, and Hamming distance are developed for logical entropy along with the corresponding notions for Shannon entropy. And finally, a number of intriguing parallels between the two entr