Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the p...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
Though considerable progress has been made with the view-dependent techniques in terrain visualization, the CPU overhead still precludes their wide application in many domains. Th...
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Abstract--Given a correlated Gaussian signal, may a chisquared law of probability always be used to describe a spectrogram coefficient distribution? If not, would a "chi-squar...
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...