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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.
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Leiden :
Cambridge University Press,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Brings together the prominent approaches to categorization, providing an evaluation of the state of the art of formal categorization research. |
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| Notas: | 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. 11 Cobweb models of categorization and probabilistic concept formation12 The knowledge and resonance (KRES) model of category learning; 13 The contribution (and drawbacks) of models to the study of concepts; 14 Formal models of categorization: insights from cognitive neuroscience; 15 Comments on models and categorization theories: the razor's edge; Index. |
| Descripción Física: | 1 online resource (350 pages) |
| ISBN: | 9780511859106 0511859104 1283006227 9781283006224 |