Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, captu...
Jacek Jankowski, Adam Westerski, Sebastian Ryszard...
Lesson graphs are composed of Learning Objects (LOs) and include a valuable amount of information about the content and usage of the LOs, described by the LO metadata. Graphs also ...
Olivier Motelet, Nelson Baloian, Benjamin Piwowars...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...