Implementations that load XML documents and give access to them via, e.g., the DOM, suffer from huge memory demands: the space needed to load an XML document is usually many times...
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
A commonly encountered view of computer conferencing focuses on peer interaction, student empowerment and a shift in both teacher and student roles. This paper argues that this vi...
Ann C. Jones, Eileen Scanlon, Canan Tosunoglu Blak...
Many real life networks, including the World Wide Web, electric power grids, and social networks, are small-world networks. The two distinguishing characteristics of small-world n...
On the basis of detailed analysis of reaction times and neurophysiological data from tasks involving choice, it has been proposed that the brain implements an optimal statistical ...