294 search results - page 34 / 59 » Identifying Conditional Causal Effects |
130
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JMLR
2010
14 years 7 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
132
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INFOCOM
2011
IEEE
14 years 4 months ago
2011
IEEE
—Localizability of network or node is an important subproblem in sensor localization. While rigidity theory plays an important role in identifying several localizability conditio...
102
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PERCOM
2005
ACM
16 years 8 days ago
2005
ACM
Different opportunistic routing protocols have been proposed recently for routing in sensor networks. These protocols exploit the redundancy among nodes by using a node that is av...
71
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BPM
2009
Springer
15 years 7 months ago
2009
Springer
Process models are considered to be a major asset in modern business organizations. They are expected to apply to all the possible business contexts in which the process may be exe...
113
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CIBCB
2006
IEEE
15 years 6 months ago
2006
IEEE
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...