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Formal Approaches in Categorization.

Brings together the prominent approaches to categorization, providing an evaluation of the state of the art of formal categorization research.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pothos, Emmanuel M.
Otros Autores: Wills, Andy J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Leiden : Cambridge University Press, 2011.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Half-title; Title; Copyright; Contents; Figures; Tables; Contributors; 1 Introduction; 2 The generalized context model: an exemplar model of classification; 3 Prototype models of categorization: basic formulation, predictions, and limitations; 4 COVIS; 5 Semantics without categorization; 6 Models of attentional learning; 7 An elemental model of associative learning and memory; 8 Nonparametric Bayesian models of categorization; 9 The simplicity model of unsupervised categorization; 10 Adaptive clustering models of categorization.