Abstract The performance of stochastic optimisers can be assessed experimentally on given problems by performing multiple optimisation runs, and analysing the results. Since an opt...
Viviane Grunert da Fonseca, Carlos M. Fonseca, And...
Abstract. Many applications rely on the security of their random number generator. It is therefore essential that such devices be extensively tested for malfunction. The purpose of...
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
It is well known that the performance of a program can often be improved by means of program transformation. Several program transformation techniques, eg. partial evaluation, wor...