Innovations in Bayesian Networks : Theory and Applications /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Holmes, Dawn E. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 156
Materias:
Tabla de Contenidos:
  • to Bayesian Networks
  • A Polemic for Bayesian Statistics
  • A Tutorial on Learning with Bayesian Networks
  • The Causal Interpretation of Bayesian Networks
  • An Introduction to Bayesian Networks and Their Contemporary Applications
  • Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer
  • Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks
  • An Information-Geometric Approach to Learning Bayesian Network Topologies from Data
  • Causal Graphical Models with Latent Variables: Learning and Inference
  • Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem
  • Toward a Generalized Bayesian Network
  • A Survey of First-Order Probabilistic Models.