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» Modeling ODP Computational Specifications Using UML
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 9 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CMSB
2010
Springer
13 years 4 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl
TOCS
2008
131views more  TOCS 2008»
13 years 9 months ago
A generic component model for building systems software
Component-based software structuring principles are now commonly and successfully applied at the application level; but componentisation is far less established when it comes to b...
Geoff Coulson, Gordon S. Blair, Paul Grace, Fran&c...
FOCS
2010
IEEE
13 years 7 months ago
Adaptive Hardness and Composable Security in the Plain Model from Standard Assumptions
We construct the first general secure computation protocols that require no trusted infrastructure other than authenticated communication, and that satisfy a meaningful notion of s...
Ran Canetti, Huijia Lin, Rafael Pass
CORR
2009
Springer
242views Education» more  CORR 2009»
13 years 7 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...