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OOPSLA
2007
Springer
13 years 11 months ago
Probabilistic calling context
Calling context enhances program understanding and dynamic analyses by providing a rich representation of program location. Compared to imperative programs, objectoriented program...
Michael D. Bond, Kathryn S. McKinley
AI
2010
Springer
13 years 5 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
KR
1998
Springer
13 years 9 months ago
Probabilistic Deduction with Conditional Constraints over Basic Events
We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globallycomplete probabilistic deduction with conditional constraints ...
Thomas Lukasiewicz
EMSOFT
2009
Springer
14 years 2 days ago
Probabilistic modeling of data cache behavior
In this paper, we propose a formal analysis approach to estimate the expected (average) data cache access time of an application across all possible program inputs. Towards this g...
Vinayak Puranik, Tulika Mitra, Y. N. Srikant
RP
2010
Springer
133views Control Systems» more  RP 2010»
13 years 3 months ago
Behavioral Cartography of Timed Automata
We aim at finding a set of timing parameters for which a given timed automaton has a “good” behavior. We present here a novel approach based on the decomposition of the parame...
Étienne André, Laurent Fribourg