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ALT
2010
Springer
13 years 9 months ago
Distribution-Dependent PAC-Bayes Priors
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
Guy Lever, François Laviolette, John Shawe-...
PROMISE
2010
13 years 2 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
14 years 1 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
EUROPAR
2004
Springer
14 years 1 months ago
More Legal Transformations for Locality
Abstract. Program transformations are one of the most valuable compiler techniques to improve data locality. However, restructuring compilers have a hard time coping with data depe...
Cédric Bastoul, Paul Feautrier
MOC
2000
124views more  MOC 2000»
13 years 7 months ago
Local and parallel finite element algorithms based on two-grid discretizations
A number of new local and parallel discretization and adaptive finite element algorithms are proposed and analyzed in this paper for elliptic boundary value problems. These algorit...
Jinchao Xu, Aihui Zhou