5785 search results - page 319 / 1157 » Approximability of Probability Distributions |
139
Voted
IJPRAI
1998
15 years 4 months ago
1998
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
143
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TIT
1998
15 years 4 months ago
1998
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
172
Voted
RSKT
2010
Springer
15 years 3 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
120
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
134
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CORR
2012
Springer
14 years 19 days ago
2012
Springer
Cooperative games model the allocation of profit from joint actions, following considerations such as stability and fairness. We propose the reliability extension of such games, ...