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AMAI
2004
Springer
14 years 1 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
UAI
2007
13 years 9 months ago
2007
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
INFFUS
2006
13 years 8 months ago
2006
Intelligent agents have to be able to merge informational inputs received from different sources in a coherent and rational way. Several proposals have been made for information m...
JMLR
2012
11 years 11 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Based on speculations coming from statistical mechanics and the conjectured existence of critical states, I propose a simple heuristic in order to control the mutation probability...