417 search results - page 45 / 84 » Bayesian inference in estimation of distribution algorithms |
NLPRS
2001
Springer
14 years 10 days ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
JCB
2000
13 years 7 months ago
2000
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
We propose a method to improve approximate inference methods by correcting for the influence of loops in the graphical model. The method is a generalization and alternative implem...
WSC
2001
13 years 9 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...