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147
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JMLR
2010
134views more  JMLR 2010»
14 years 10 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
131
Voted
HICSS
2010
IEEE
193views Biometrics» more  HICSS 2010»
15 years 10 months ago
The Topological and Electrical Structure of Power Grids
Numerous recent papers have found important relationships between network structure and risks within networks. These results indicate that network structure can dramatically affec...
Paul Hines, Seth Blumsack, E. Cotilla Sanchez, C. ...
116
Voted
JOT
2006
80views more  JOT 2006»
15 years 3 months ago
Remote Job Submission Security
This paper presents the middleware needed to deploy jobs to non-geographically colocated clusters with decentralized look-up severs. We have named our framework the Initium Remote...
Pawel Krepsztul, Douglas A. Lyon
WSC
2008
15 years 5 months ago
Measuring the effectiveness of the s-metric to produce better network models
Recent research has shown that while many complex networks follow a power-law distribution for their node degrees, it is not sufficient to model these networks based only on their...
Isabel Beichl, Brian Cloteaux
103
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PERCOM
2008
ACM
16 years 3 months ago
Structured decomposition of adaptive applications
We describe an approach to automate certain highlevel implementation decisions in a pervasive application, allowing them to be postponed until run time. Our system enables a model...
Justin Mazzola Paluska, Hubert Pham, Umar Saif, Gr...