We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
The K framework, based on rewriting logic semantics, provides a powerful logic for deļ¬ning the semantics of programming languages. While most work in this area has focused on deļ...
Abstract. Current Learning Management Systems were typically conceived to offer a self-contained "one size fits all" learning environment. Adaptive educational systems ha...