In this paper we outline a new process model for security engineering. This process model extends object oriented, use case driven software development by the systematic treatment ...
Ruth Breu, Klaus Burger, Michael Hafner, Gerhard P...
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Over the last few years, Real-Time Calculus has been used extensively to model and analyze embedded systems processing continuous data/event streams. Towards this, bounds on the a...
Anne Bouillard, Linh T. X. Phan, Samarjit Chakrabo...
pecific models increase the level of abstraction used to develop large-scale component-based systems. Model-driven development (MDD) approaches (e.g., ModelIntegrated Computing and...
Krishnakumar Balasubramanian, Aniruddha S. Gokhale...