TY  - BOOK
AU  - Riggelsen,Carsten
TI  - Approximation methods for efficient learning of Bayesian networks
T2  - Frontiers in artificial intelligence and applications
SN  - 9781586038212
U1  - 000SA.161 23
PY  - 2008///
CY  - Amsterdam
PB  - IOS Press
KW  - Bayesian statistical decision theory
KW  - Machine learning
KW  - Neural networks (Computer science)
N1  - Thesis (Ph.D.)--Utrecht University, 2006; Includes bibliographical references; 1. Introduction; 
2. Preliminaries; 
3. Learning Bayesian Networks from Data; 
4. Monte Carlo Methods and MCMC Simulation; 
5. Learning from Incomplete Data; 
6. Conclusion
N2  - This book offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. This publication discusses basic concepts about probabilities, graph theory and conditional independence; and Bayesian network learning from data
ER  -