1365 search results - page 14 / 273 » Maximal Causality Analysis |
114
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CAISE
2009
Springer
15 years 7 months ago
2009
Springer
Meta models are the core of enterprise architecture, but still few methods are available for the creation of meta models tailored for specific purposes. This paper presents two app...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
nalysis of a TA modeled component. First, we abstract fine models to work with event streams at coarse granularity. We perform analysis of the component at multiple coarse granular...
126
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UAI
2008
15 years 2 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
149
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JMLR
2006
15 years 16 days ago
2006
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
105
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AAAI
2011
14 years 17 days ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...