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PE
2010
Springer
170views Optimization» more  PE 2010»
13 years 5 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
11 years 9 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
PODS
2008
ACM
174views Database» more  PODS 2008»
14 years 7 months ago
Epistemic privacy
We present a novel definition of privacy in the framework of offline (retroactive) database query auditing. Given information about the database, a description of sensitive data, ...
Alexandre V. Evfimievski, Ronald Fagin, David P. W...
SAS
1995
Springer
127views Formal Methods» more  SAS 1995»
13 years 10 months ago
Complementation in Abstract Interpretation
ntation in Abstract Interpretation AGOSTINO CORTESI Universit`a di Venezia GILBERTO FIL´E Universit`a di Padova ROBERTO GIACOBAZZI Universit`a di Pisa CATUSCIA PALAMIDESSI Univers...
Agostino Cortesi, Gilberto Filé, Roberto Gi...
PROMISE
2010
13 years 1 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...