—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...
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...
Software development is a constant endeavor to optimize qualities like performance and robustness while ensuring functional correctness. Architecture Description Languages (ADLs) ...
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 ...
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...