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Case-Based Reasoning A Textbook /

While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based rea­soning (CBR) can be viewed as experience mining, with analogical reasoning applied to pro...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Richter, Michael M. (Autor), Weber, Rosina O. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I - Basics and Preliminaries
  • Chap. 1 - Introduction
  • Chap. 2 - Basic CBR Elements
  • Chap. 3 - Extended View
  • Chap. 4 - Application Examples
  • Part II - Core Methods
  • Chap. 5 - Case Representations
  • Chap. 6 - Basic Similarity Topics
  • Chap. 7 - Complex Similarity Topics
  • Chap. 8 - Retrieval
  • Chap. 9 - Adaptation
  • Chap. 10 - Evaluation, Revisions, and Learning
  • Chap. 11 - Development and Maintenance
  • Part III - Advanced Elements
  • Chap. 12 - Advanced CBR Elements
  • Chap. 13 - Advanced Similarity Topics
  • Chap. 14 - Advanced Retrieval
  • Chap. 15 - Uncertainty
  • Chap. 16 - Probabilities
  • Part IV - Complex Knowledge Sources
  • Chap. 17 - Textual CBR
  • Chap. 18 - Images
  • Chap. 19 - Sensor Data and Speech
  • Chap. 20 - Conversational CBR
  • Chap. 21 - Knowledge Management
  • Part V - Appendices
  • Chap. 22 - Basic Formal Definitions and Methods
  • Chap. 23 - Relations and Comparisons with Other Techniques.