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» Using probabilistic reasoning to automate software tuning
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SP
2008
IEEE
138views Security Privacy» more  SP 2008»
14 years 9 months ago
A performance tuning methodology with compiler support
We have developed an environment, based upon robust, existing, open source software, for tuning applications written using MPI, OpenMP or both. The goal of this effort, which inte...
Oscar Hernandez, Barbara M. Chapman, Haoqiang Jin
EWCBR
2008
Springer
14 years 11 months ago
Instance-Based Label Ranking using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
LPAR
2010
Springer
14 years 7 months ago
On the Equality of Probabilistic Terms
We consider a mild extension of universal algebra in which terms are built both from deterministic and probabilistic variables, and are interpreted as distributions. We formulate a...
Gilles Barthe, Marion Daubignard, Bruce M. Kapron,...
INFORMATICALT
1998
91views more  INFORMATICALT 1998»
14 years 9 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
72
Voted
LPNMR
2005
Springer
15 years 3 months ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar