235 search results - page 12 / 47 » Compiling Bayesian Networks Using Variable Elimination |
87
Voted
AI
2007
Springer
15 years 7 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...
90
Voted
SAFECOMP
2005
Springer
15 years 6 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...
99
Voted
RECOMB
2000
Springer
15 years 4 months 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...
122
Voted
AAAI
2008
15 years 3 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...
101
Voted
UAI
1998
15 years 2 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...