Abstract. The unpredictable run-time configurations of dynamic, datadriven application systems require flexible simulation components that can adapt to changes in the number of i...
This work was proposed as a Doctoral Thesis of Applied Computing Course at Brazilian National Institute for Space Research (INPE) and is a ongoing work. The main purpose of SICSDA ...
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
We consider a specific kind of Abstract State Machines. It is shown how the machines can be used to provide a low-level formal semantics for a tiny object-oriented language, inclu...