769 search results - page 127 / 154 » Bayesian Generalized Kernel Models |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
HUC
2010
Springer
14 years 8 months ago
2010
Springer
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
124
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
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KBSE
2007
IEEE
15 years 3 months ago
2007
IEEE
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...