Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Today’s search engines are increasingly required to broaden their capabilities beyond free-text search. More complex features, such as supporting range constraints over numeric ...
Marcus Fontoura, Ronny Lempel, Runping Qi, Jason Y...
In this case study, we describe a method that has potential to provide systematic support for public health information management. Public health agencies depend on specialized in...
We aim at designing an effective evacuation support system for disaster response, specifically tailored to aid the walking wounded, a significant group of victims suffering from re...
Lucy T. Gunawan, Augustinus H. J. Oomes, Zhenke Ya...
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...