Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Recently, various crowdsourcing initiatives showed that targeted efforts of user communities result in massive amounts of tags. For example, the Netherlands Institute for Sound a...
Riste Gligorov, Michiel Hildebrand, Jacco van Osse...
For compression of 3-D dynamic meshes, the novel framework of so-called frame-based animated mesh compression (FAMC) has been introduced recently. In this context, we propose an e...
Abstract ⎯ Currently, the most advanced framework for stochastic network calculus is the min-plus algebra, providing bounds for the end-to-end delay in networks. The bounds calcu...
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...