Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
—We consider a scenario in which users share an access point and are mainly interested in VoIP applications. Each user is allowed to adapt to varying network conditions by choosi...
This paper presents two case studies of parallelization of large Natural Language Processing (NLP) applications using a parallel logic programmingsystem (called "ACE")th...
Enrico Pontelli, Gopal Gupta, Janyce Wiebe, David ...
There are still no established methods for the evaluation of browsing and exploratory search tools. In the (multimedia) information retrieval community evaluations following the C...