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111
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QEST
2010
IEEE
14 years 11 months ago
Compositional Verification of Probabilistic Systems Using Learning
Lu Feng, Marta Z. Kwiatkowska, David Parker
111
Voted
CAV
2007
Springer
164views Hardware» more  CAV 2007»
15 years 5 months ago
SAT-Based Compositional Verification Using Lazy Learning
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...
Nishant Sinha, Edmund M. Clarke
182
Voted
FASE
2011
Springer
14 years 4 months ago
Automated Learning of Probabilistic Assumptions for Compositional Reasoning
Probabilistic verification techniques have been applied to the formal modelling and analysis of a wide range of systems, from communication protocols such as Bluetooth, to nanosca...
Lu Feng, Marta Z. Kwiatkowska, David Parker
96
Voted
NIPS
2001
15 years 2 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
141
Voted
TACAS
2010
Springer
212views Algorithms» more  TACAS 2010»
14 years 11 months ago
Assume-Guarantee Verification for Probabilistic Systems
Abstract. We present a compositional verification technique for systems that exhibit both probabilistic and nondeterministic behaviour. We adopt an assume-guarantee approach to ver...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...