We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
Increased concern about bioterrorism and emerging diseases is driving the development of systems for early epidemic detection. These systems have different requirements than tradit...
David L. Buckeridge, Martin J. O'Connor, Haobo Xu,...
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Log data constitutes a relevant aspect in the evaluation process of multilingual search services. Activity logs allow to study the usage of search engines and to better adapt them ...
Thomas Mandl, Giorgio Maria Di Nunzio, Julia Maria...