50 search results - page 2 / 10 » Nonlinear causal discovery with additive noise models |
DATAMINE
2006
13 years 5 months ago
2006
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
JMLR
2011
12 years 12 months ago
2011
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
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SIAMIS
2008
13 years 4 months ago
2008
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
BMCBI
2007
13 years 5 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...