In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
We have used the synthetic modeling method to construct a multilevel, agent oriented, in silico analogue of an in vitro experimental system for studying leukocyte rolling, activat...
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
People-Finder Systems are knowledge repositories that attempt to manage knowledge by holding pointers to experts who possess specific knowledge within an organization. This paper ...
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...