Optimizing Queries in Bayesian Networks
作者： Johannes Förstner
DOI:
关键词:
摘要: This thesis explores and compares different methods of optimizing queries in Bayesian networks. networks are graph-structured models that model probabilistic variables their influences ...
参考文章(23)
Marek J. Druzdzel, Paul P. Maaskant, An Independence of Causal Interactions Model for Opposing Inuences ,(2008)
Erik Lundqvist, Design Patterns for Service-Based Fault Tolerant Mechatronic Systems ,(2011)
D. Poole, Nevin L. Zhang, A simple approach to Bayesian network computations canadian conference on artificial intelligence. ,(1994)
Marek J. Druzdzel, Changhe Yuan, An importance sampling algorithm based on evidence pre-propagation uncertainty in artificial intelligence. pp. 624- 631 ,(2002)
Håkan Warnquist, Jonas Kvarnström, Patrick Doherty, Planning as Heuristic Search for Incremental Fault Diagnosis and Repair international conference on automated planning and scheduling. ,(2009)
Ross D. Shachter, Mark A. Peot, Simulation Approaches to General Probabilistic Inference on Belief Networks uncertainty in artificial intelligence. ,vol. 10, pp. 221- 234 ,(1990) , 10.1016/B978-0-444-88738-2.50024-5
Robert Fung, Kuo-Chu Chang, None, Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks uncertainty in artificial intelligence. ,vol. 10, pp. 209- 220 ,(1990) , 10.1016/B978-0-444-88738-2.50023-3
Marek J. Druzdzel, Yan Lin, Computational advantages of relevance reasoning in Bayesian belief networks uncertainty in artificial intelligence. pp. 342- 350 ,(1997)
David Heckerman, A Tractable Inference Algorithm for Diagnosing Multiple Diseases uncertainty in artificial intelligence. ,vol. 10, pp. 163- 172 ,(1990) , 10.1016/B978-0-444-88738-2.50020-8
Robert Fung, Brendan Del Favero, Backward simulation in Bayesian networks uncertainty in artificial intelligence. pp. 227- 234 ,(1994) , 10.1016/B978-1-55860-332-5.50034-1