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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 9 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
FASE
2011
Springer
14 years 1 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
DATE
2004
IEEE
128views Hardware» more  DATE 2004»
15 years 1 months ago
Enhanced Diameter Bounding via Structural
Bounded model checking (BMC) has gained widespread industrial use due to its relative scalability. Its exhaustiveness over all valid input vectors allows it to expose arbitrarily ...
Jason Baumgartner, Andreas Kuehlmann
SIGSOFT
2006
ACM
15 years 10 months ago
Local analysis of atomicity sphere for B2B collaboration
Atomicity is a desirable property for business processes to conduct transactions in Business-to-Business (B2B) collaboration. Although it is possible to reason about atomicity of ...
Chunyang Ye, S. C. Cheung, W. K. Chan, Chang Xu
EMSOFT
2005
Springer
15 years 3 months ago
A structural approach to quasi-static schedulability analysis of communicating concurrent programs
We describe a system as a set of communicating concurrent programs. Quasi-static scheduling compiles the concurrent programs into a sequential one. It uses a Petri net as an inter...
Cong Liu, Alex Kondratyev, Yosinori Watanabe, Albe...