289 search results - page 7 / 58 » Introducing Variability into Aspect-Oriented Modeling Approa... |
102
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JMLR
2010
14 years 4 months ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
105
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AROBOTS
2011
14 years 4 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
PAMI
1998
14 years 9 months ago
1998
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
RE
2006
Springer
14 years 9 months ago
2006
Springer
We introduce a variability-intensive approach to goal decomposition that is tailored to support requirements identification for highly customizable software. The approach is based...