— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Several applications support the adaptation of course material. Even though most of these systems allow to specify interaction preferences or even employ user modeling techniques,...
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
When the workflow application is executed in Service-Oriented Grid (SOG), performance issues such as service scheduling should be considered, to achieve high and stable performance...