Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
In recent years, the learner models of some adaptive learning environments have been opened to the learners they represent. However, as yet there is no standard way of describing a...
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
To realize the benefits of Aspect Oriented Programming (AOP), developers must refactor active and legacy code bases into an AOP language. When refactoring, developers first need...
David Shepherd, Jeffrey Palm, Lori L. Pollock, Mar...
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...