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» On Reachability Under Uncertainty
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ECBS
2009
IEEE
113views Hardware» more  ECBS 2009»
15 years 6 months ago
Modeling and Analysis of Probabilistic Timed Systems
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
Abhishek Dubey, Derek Riley, Sherif Abdelwahed, Te...
LPNMR
2007
Springer
15 years 6 months ago
Semantics for Possibilistic Disjunctive Programs
In this paper by considering an answer set programming approach and some basic ideas from possibilistic logic, we introduce a possibilistic disjunctive logic programming approach t...
Juan Carlos Nieves, Mauricio Osorio, Ulises Cort&e...
GLVLSI
2005
IEEE
103views VLSI» more  GLVLSI 2005»
15 years 5 months ago
Causal probabilistic input dependency learning for switching model in VLSI circuits
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
Nirmal Ramalingam, Sanjukta Bhanja
ACL
2008
15 years 1 months ago
Dimensions of Subjectivity in Natural Language
Current research in automatic subjectivity analysis deals with various kinds of subjective statements involving human attitudes and emotions. While all of them are related to subj...
Wei Chen
AIPS
2006
15 years 1 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens