215 search results - page 9 / 43 » Cuts in Bayesian graphical models |
AI
2007
Springer
15 years 4 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...
100
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SUM
2009
Springer
15 years 5 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
112
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JMLR
2012
13 years 1 months ago
2012
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
CGF
2010
14 years 10 months ago
2010
This paper considers the problem of interactively finding the cutting contour to extract components from a given mesh. Some existing methods support cuts of arbitrary shape but re...
SEMWEB
2005
Springer
15 years 4 months ago
2005
Springer
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...