Writing parallel applications for computational grids is a challenging task. To achieve good performance, algorithms designed for local area networks must be adapted to the differ...
Thilo Kielmann, Rutger F. H. Hofman, Henri E. Bal,...
The effort that has been made to study risk management in the context of software architecture and its evolution, has so far focused on output from structured evaluations. However...
Odd Petter N. Slyngstad, Reidar Conradi, Muhammad ...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
With the increasing popularity of practical vision systems and smart phones, text detection in natural scenes becomes a critical yet challenging task. Most existing methods have f...
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...