1704 search results - page 120 / 341 » Learning nonlinear dynamic models |
105
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
JSCIC
2011
14 years 8 months ago
2011
In this paper, we study a time discrete scheme for the initial value problem of the ES-BGK kinetic equation. Numerically solving these equations are challenging due to the nonlinea...
103
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PKDD
2004
Springer
15 years 6 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
149
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CN
2006
15 years 1 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....