Innovations in Bayesian networks : theory and applications
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both t...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2008. |
| سلاسل: | Studies in Computational Intelligence
156 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Innovations in Bayesian Networks, Texte imprimé, 9783540873112 • Innovations in Bayesian Networks, Texte imprimé, 9783642098758 • Innovations in Bayesian Networks, Texte imprimé, 9783540850656 • Innovations in Bayesian Networks, Texte imprimé, 9783540873112 • Innovations in Bayesian Networks, Texte imprimé, 9783642098758 • Innovations in Bayesian Networks, Texte imprimé, 9783540850656 |
جدول المحتويات:
- 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.