It is believed that computer-supported collaboration at a distance can stimulate learning. In this paper an innovative environment that permits real-time collaborative problem sol...
Nikolaos M. Avouris, Meletis Margaritis, Vassilis ...
This work proposes concepts, designs, experiences and lessons learned from some studies of ad hoc learning supported by wireless and mobile technologies. The ad hoc learning activi...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
This paper proposes an intuitive configuration tool for autonomic pervasive computing systems. Specifically the paper presents a system for the inference of user task intentions f...