Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
In tangible learning systems, the facility to promote physically active engagement highlights the need to understand how different designs impact on action and interaction, and th...
Sara Price, Jennifer G. Sheridan, Taciana Pontual ...
A basic question of instruction is how effective it is in promoting student learning. This paper presents a study determining the relative efficacy of different instructional conte...
Serious games are becoming a powerful tool in education. However, there are still open issues needing further research to generalize the use of videogames and game-like simulations...
Javier Torrente, Pablo Moreno-Ger, Baltasar Fern&a...