Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
Weare developing a laboratory notebook system knownas the Genetics Deductive Database. Currently our prototype provides storage for biological facts andrules withflexible accessvi...
Catherine Hearne, Zhan Cui, Simon Parsons, Saki Ha...
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
This paper deals with the problem of error estimation in 3D reconstruction. It shows how interval analysis can be used in this way for 3D vision applications. The description of a...
Abstract. An important portion of the current research in Description Logics is devoted to the expansion of the reasoning services and the developement of algorithms that can adequ...