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PIMRC
2008
IEEE
16 years 29 days ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
ISCIS
2004
Springer
15 years 12 months ago
Modeling Dynamic Web Content
Web sites have become increasingly complex and offer a large variety of services and contents. The proliferation of dynamic Web contents opens up new challenging performance and s...
Antonio Barili, Mariacarla Calzarossa, Daniele Tes...
WICSA
2001
15 years 8 months ago
Statechart Simulator for Modeling Architectural Dynamics
Software development is a constant endeavor to optimize qualities like performance and robustness while ensuring functional correctness. Architecture Description Languages (ADLs) ...
Alexander Egyed, David S. Wile
ZUM
2000
Springer
15 years 10 months ago
Formal Methods for Industrial Products
We have recently completed the specication and security proof of a large, industrial scale application. The application is security critical, and the modelling and proof were done ...
Susan Stepney, David Cooper
WSC
2001
15 years 8 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin