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» A Statistical Clustering Model and Algorithm
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AVI
2006
15 years 4 months ago
Just how dense are dense graphs in the real world?: a methodological note
This methodological note focuses on the edge density of real world examples of networks. The edge density is a parameter of interest typically when putting up user studies in an e...
Guy Melançon
FORTE
2004
15 years 4 months ago
Localizing Program Errors for Cimple Debugging
Abstract. We present automated techniques for the explanation of counterexamples, where a counter-example should be understood as a sequence of program statements. Our approach is ...
Samik Basu, Diptikalyan Saha, Scott A. Smolka
UAI
2003
15 years 4 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
156
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CORR
2008
Springer
123views Education» more  CORR 2008»
15 years 2 months ago
Networks become navigable as nodes move and forget
Abstract. We propose a dynamic process for network evolution, aiming at explaining the emergence of the small world phenomenon, i.e., the statistical observation that any pair of i...
Augustin Chaintreau, Pierre Fraigniaud, Emmanuelle...
CPHYSICS
2008
79views more  CPHYSICS 2008»
15 years 2 months ago
Atmospheric MUons from PArametric formulas: a fast GEnerator for neutrino telescopes (MUPAGE)
Abstract. Neutrino telescopes are opening new opportunities in observational high energy astrophysics. In these detectors, atmospheric muons from primary cosmic ray interactions in...
G. Carminati, M. Bazzotti, A. Margiotta, M. Spurio