We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Emerging e-learning tools have the potential to enrich academic environments. However, there is a need to understand the requirements, expectations, and learning styles of the end...
Services for locating mobile objects are often organized as a distributed search tree. The advantage of such an organization is that the service can easily scale as a distributed ...
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
One of the factors that affect successful collaborative learning is the composition of collaborative groups. Due to the lack of intelligent grouping according to learners’ pedag...