In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-pain and fine-grain parallel architectures. This paper attempts to chara...
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
Angel Fernando Kuri Morales, Oscar Herrera-Alcanta...
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...