Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
This project focuses on the implementation of a framework for mobile agents support within a grid environment project, namely InteGrade. Our goal is to present a framework where ti...
Computer science and engineering nowadays appears to be challenged (and driven) by technological progress and quantitative growth. Among the technological progress challenges are ...
Abstract. This paper explores the use of initial Stochastic Context-Free Grammars (SCFG) obtained from a treebank corpus for the learning of SCFG by means of estimation algorithms....
This paper describes the main ideas of DRMTP (Distributed Real-time Multicast Transport Protocol), an adaptive application-level protocol which allows cooperative multicast of rea...