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Case-Based Approximate Reasoning

Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More p...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hüllermeier, Eyke (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Theory and Decision Library B, Mathematical and Statistical Methods ; 44
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Similarity and Case-Based Inference
  • Constraint-Based Modeling of Case-Based Inference
  • Probabilistic Modeling of Case-Based Inference
  • Fuzzy Set-Based Modeling of Case-Based Inference I
  • Fuzzy Set-Based Modeling of Case-Based Inference II
  • Case-Based Decision Making
  • Conclusions and Outlook.