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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 |
|---|---|
| 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 |
MARC
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| 100 | 1 | |a Pothos, Emmanuel M. | |
| 245 | 1 | 0 | |a Formal Approaches in Categorization. |
| 260 | |a Leiden : |b Cambridge University Press, |c 2011. | ||
| 300 | |a 1 online resource (350 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 588 | 0 | |a Print version record. | |
| 500 | |a 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. | ||
| 500 | |a 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. | ||
| 520 | |a Brings together the prominent approaches to categorization, providing an evaluation of the state of the art of formal categorization research. | ||
| 505 | 0 | |a 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. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Categorization (Psychology) | |
| 650 | 6 | |a Catégorisation (Psychologie) | |
| 650 | 7 | |a Categorization (Psychology) |2 fast | |
| 700 | 1 | |a Wills, Andy J. | |
| 758 | |i has work: |a Formal approaches in categorization (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGCGjC6vXJj7kCwxYxbcKb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Pothos, Emmanuel M. |t Formal Approaches in Categorization. |d Leiden : Cambridge University Press, ©2011 |z 9780521190480 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=615765 |z Texto completo |
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