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» Tackling Large State Spaces in Performance Modelling
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ICDE
2007
IEEE
173views Database» more  ICDE 2007»
16 years 5 months ago
Top-k Query Processing in Uncertain Databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between score and uncertainty makes traditio...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
OOPSLA
2010
Springer
15 years 1 months ago
Efficient modular glass box software model checking
Glass box software model checking incorporates novel techniques to identify similarities in the state space of a model checker and safely prune large numbers of redundant states w...
Michael Roberson, Chandrasekhar Boyapati
DAGSTUHL
2007
15 years 5 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
AAAI
2007
15 years 6 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
TACAS
2005
Springer
115views Algorithms» more  TACAS 2005»
15 years 9 months ago
On-the-Fly Reachability and Cycle Detection for Recursive State Machines
Searching the state space of a system using enumerative and on-the-fly depth-first traversal is an established technique for model checking finite-state systems. In this paper, ...
Rajeev Alur, Swarat Chaudhuri, Kousha Etessami, P....