In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
This paper presents Lecomps5, a web-based system for automated course personalization in distance learning environments. This system is an upgraded version of the Lecomps4 system,...
Carla Limongelli, Filippo Sciarrone, Marco Temperi...
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
This paper analyses the requirements of a third-generation technology integrated learning environment. The architecture proposed is analysed in terms of the generic constraints of...