Making well-founded security investment decisions is hard: several alternatives may need to be considered, the alternatives’ space is often diffuse, and many decision parameters...
Virginia N. L. Franqueira, Siv Hilde Houmb, Maya D...
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
This paper reviews the connections between Graphplan's planning-graph and the dynamic constraint satisfaction problem and motivates the need for adapting CSP search technique...
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
This paper describes the development of an Adaptive Learning Management System with Support for 3D Collaboration (ALMaS-3D) and presents an evaluation of its main functionalities....
Claudio Kirner, Clodonil H. Trigo, Tereza G. Kirne...