In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
The Partnership for Engineering Education in the Rockies (PEER) is comprised of local educational and industrial institutions committed to improving the engineering education path...
In this paper we present Quilt Snaps, a fabric based construction kit consisting of a set of computationally enhanced quilting pieces. Our discussion focuses on three ways that ch...
Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a simila...