1722 search results - page 179 / 345 » On the sample mean of graphs |
183
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UAI
2004
15 years 7 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
206
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WSC
2001
15 years 7 months ago
2001
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
197
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
186
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
We motivate and analyse a new Tree Search algorithm, based on recent advances in the use of Gaussian Processes for bandit problems. We assume that the function to maximise on the ...
181
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ISCI
2008
15 years 6 months ago
2008
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...