235 search results - page 12 / 47 » Compiling Bayesian Networks Using Variable Elimination |
AI
2007
Springer
14 years 2 months ago
2007
Springer
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
SAFECOMP
2005
Springer
14 years 2 months ago
2005
Springer
Event trees are a popular technique for modelling accidents in system safety analyses. Bayesian networks are a probabilistic modelling technique representing influences between unc...
RECOMB
2000
Springer
14 years 9 days ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
AAAI
2008
13 years 11 months ago
2008
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
UAI
1998
13 years 10 months ago
1998
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...