We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Due to the constantly evolving nature of Web-based Education (WBE) it is often difficult for educators to understand the issues, challenges, impact, and effort required to introdu...
Techniques for analyzing and improving memory referencing behavior continue to be important for achieving good overall program performance due to the ever-increasing performance g...