This paper aims at illustrating the necessities that led to the decision of building a technological learning platform for the ALaRI (Advanced Learning and Research Institute) acad...
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
We describe a user interface for wireless information devices, specifically designed to facilitate learning about users’ individual interests in daily news stories. User feedbac...
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...