Information retrieval is an empirical science; the field cannot move forward unless there are means of evaluating the innovations devised by researchers. However the methodologies...
Mark Sanderson, Martin Braschler, Nicola Ferro, Ju...
The issue of fire propagation in cities is of obvious importance to Civil Authorities, but does present issues of computational complexity. Our basic assumption is that some event...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life socia...
Yong-Yeol Ahn, Seungyeop Han, Haewoon Kwak, Sue B....
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...