Category utility is a measure of "category goodness" defined in and . It was intended to supersede more limited measures of category goodness such as "cue validity" (;) and "collocation index" . It provides a normative information-theoretic measure of the predictive advantage gained by the observer who possesses knowledge of the given category structure (i.e., the class labels of instances) over the observer who does not possess knowledge of the category structure.

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p:abstract
  • Category utility is a measure of "category goodness" defined in and . It was intended to supersede more limited measures of category goodness such as "cue validity" (;) and "collocation index" . It provides a normative information-theoretic measure of the predictive advantage gained by the observer who possesses knowledge of the given category structure (i.e., the class labels of instances) over the observer who does not possess knowledge of the category structure. In this sense the motivation for the category utility measure is similar to the information gain metric used in decision tree learning. In certain presentations, it is also formally equivalent to the mutual information, as discussed below. An excellent review of category utility in its probabilistic incarnation, with applications to machine learning, is provided in . (en)
p:authorlink
  • John Stuart Mill (en)
p:chapter
  • Focused concept formation (en)
  • Information, uncertainty, and the utility of categories (en)
  • Principles of categorization (en)
  • To cognize is to categorize: Cognition is categorization (en)
  • Using configural and dimensional information (en)
p:editor
  • Alberto Maria Segre (en)
  • Eleanor Rosch & Barbara B. Lloyd (en)
  • Henri Cohen & Claire Lefebvre (en)
  • N. John Castellan (en)
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  • Carolyn B. (en)
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  • Douglas H. (en)
  • Douglas L. (en)
  • Edward E. (en)
  • Eibe (en)
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  • Gregory L. (en)
  • Gregory V. (en)
  • Ian H. (en)
  • James E. (en)
  • John H. (en)
  • John K. (en)
  • John Stuart (en)
  • Malcolm (en)
  • Mark A. (en)
  • Mark K. (en)
  • Pat (en)
  • Stephen E. (en)
  • Stephen José (en)
  • Stephen K. (en)
  • Stevan (en)
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  • Artificial Intelligence (en)
  • Cognitive Psychology (en)
  • Journal of Experimental Psychology: Learning, Memory, and Cognition (en)
  • Machine Learning (en)
  • Psychological Bulletin (en)
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  • 425 (xsd:integer)
p:pages
  • 1083–1119 (en)
  • 11–61 (en)
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p:place
p:pp
  • 260–262 (en)
  • 466–468 (en)
p:publisher
  • Elsevier (en)
  • Harvard University Press (en)
  • Lawrence Erlbaum (en)
  • Longmans, Green and Co. (en)
  • Morgan Kaufmann (en)
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  • Bauer (en)
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p:title
  • A System of Logic, Ratiocinative and Inductive: Being a Connected View of the Principles of Evidence and the Methods of Scientific Investigation (en)
  • A model of probabilistic category learning (en)
  • Categories and Concepts (en)
  • Cognition and Categorization (en)
  • Conceptual clustering, categorization, and polymorphy (en)
  • Cue validity and levels of categorization (en)
  • Data Mining: Practical Machine Learning Tools and Techniques (en)
  • Explaining basic categories: Feature predictability and information (en)
  • Family Resemblances: Studies in the Internal Structure of Categories (en)
  • Handbook of Categorization in Cognitive Science (en)
  • Identifying basic categories (en)
  • Individual and Group Decision Making: Current Issues (en)
  • Knowledge acquisition via incremental conceptual clustering (en)
  • Models of incremental concept formation (en)
  • Pattern recognition and categorization (en)
  • Proceedings of the Sixth International Workshop on Machine Learning (en)
  • Program of the Seventh Annual Conference of the Cognitive Science Society (en)
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rdfs:comment
  • Category utility is a measure of "category goodness" defined in and . It was intended to supersede more limited measures of category goodness such as "cue validity" (;) and "collocation index" . It provides a normative information-theoretic measure of the predictive advantage gained by the observer who possesses knowledge of the given category structure (i.e., the class labels of instances) over the observer who does not possess knowledge of the category structure. (en)
rdfs:label
  • Category utility (en)
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foaf:page
p:redirect