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» Deviation Analysis: A New Use of Model Checking
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TNN
1998
111views more  TNN 1998»
15 years 5 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ANSS
2006
IEEE
16 years 8 days ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
ATVA
2010
Springer
284views Hardware» more  ATVA 2010»
15 years 7 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
FMSD
2006
103views more  FMSD 2006»
15 years 6 months ago
Compositional SCC Analysis for Language Emptiness
We propose a refinement approach to language emptiness, which is based on the enumeration and the successive refinements of SCCs on over-approximations of the exact system. Our alg...
Chao Wang, Roderick Bloem, Gary D. Hachtel, Kavita...
ICSE
2007
IEEE-ACM
16 years 6 months ago
Sequential Circuits for Relational Analysis
The Alloy tool-set has been gaining popularity as an alternative to traditional manual testing and checking for design correctness. Alloy uses a first-order relational logic for m...
Fadi A. Zaraket, Adnan Aziz, Sarfraz Khurshid