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» Tackling Large State Spaces in Performance Modelling
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ICDE
2007
IEEE
173views Database» more  ICDE 2007»
14 years 10 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
13 years 6 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
13 years 10 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
13 years 11 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»
14 years 2 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....