The distributed, project-oriented nature of digital libraries (DLs) has made them difficult to evaluate in aggregate. By modifying the methods and tools used to evaluate tradition...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
This paper presents the performance measurement of TCP and UDP communication of a multi-hop Vehicular Ad Hoc Network (VANET) in highway and suburban areas. We use existing out-ofb...
We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research...
Kathleen McKeown, Rebecca J. Passonneau, David K. ...
Finding a proper distribution of translation probabilities is one of the most important factors impacting the effectiveness of a crosslanguage information retrieval system. In th...