2103 search results - page 113 / 421 » Approximate Learning of Dynamic Models |
239
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ICIP
2005
IEEE
16 years 6 months ago
2005
IEEE
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
142
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BMCBI
2007
15 years 5 months ago
2007
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
152
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
126
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ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
162
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UAI
2008
15 years 6 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...