Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Abstract. Current e-learning standards have been designed to provide reusability of educational contents and interoperability between systems. Besides these features, content perso...
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the mus...
Marek Hatala, Karen Tanenbaum, Ron Wakkary, Kevin ...
Intense research on virtual machines has highlighted the need for flexible software architectures that allow quick evaluation of new design and implementation techniques. The inte...
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...