Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

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Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troublesh...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kjærulff, Uffe B. (Autor), Madsen, Anders L. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Information Science and Statistics,
Temas:
Mathematical statistics-Data processing.
Computer science-Mathematics.
Mathematical statistics.
Data mining.
Artificial intelligence.
Operations research.
Management science.
Probabilities.
Statistics and Computing.
Probability and Statistics in Computer Science.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Operations Research, Management Science .
Probability Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fundamentals
  • Networks
  • Probabilities
  • Probabilistic Networks
  • Solving Probabilistic Networks
  • Model Construction
  • Eliciting the Model
  • Modeling Techniques
  • Data-Driven Modeling
  • Model Analysis
  • Conflict Analysis
  • Sensitivity Analysis
  • Value of Information Analysis.

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