This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. GMLE is currently being applied to astroinformatics for determining the shape o...
Travis J. Desell, Nathan Cole, Malik Magdon-Ismail...
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...
In recent years 3D virtual characters have become more common in desktop interfaces, particularly in gaming and entertainment applications. In this paper we describe how augmented...
Daniel Wagner, Mark Billinghurst, Dieter Schmalsti...
One of the themes in building reusable and maintainable software is identifying similarities and designing generic solutions to unify similarity patterns. In this paper, we analyze...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...