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AUTOMATICA
2002
80views more  AUTOMATICA 2002»
13 years 7 months ago
Robust control of nonlinear systems with parametric uncertainty
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Qian Wang, Robert F. Stengel
ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 7 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
CAV
2010
Springer
159views Hardware» more  CAV 2010»
13 years 9 months ago
Gist: A Solver for Probabilistic Games
Gist is a tool that (a) solves the qualitative analysis problem of turn-based probabilistic games with -regular objectives; and (b) synthesizes reasonable environment assumptions f...
Krishnendu Chatterjee, Thomas A. Henzinger, Barbar...
ATVA
2010
Springer
284views Hardware» more  ATVA 2010»
13 years 8 months ago
YAGA: Automated Analysis of Quantitative Safety Specifications in Probabilistic B
Probabilistic B (pB) [2, 8] extends classical B [7] to incorporate probabilistic updates together with the specification of quantitative safety properties. As for classical B, prob...
Ukachukwu Ndukwu, A. K. McIver
SIGSOFT
2002
ACM
14 years 8 months ago
Improving program slicing with dynamic points-to data
Program slicing is a potentially useful analysis for aiding program understanding. However, slices of even small programs are often too large to be generally useful. Imprecise poi...
Markus Mock, Darren C. Atkinson, Craig Chambers, S...