Software-testing researchers have long sought recipes for test suites that detect faults well. In the literature, empirical studies of testing techniques abound, yet the ideal tec...
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
In this demonstration paper we present MAPS, a novel system that combines approximate information retrieval and filtering functionality in a peer-to-peer setting. In MAPS, a user...
Christian Zimmer, Johannes Heinz, Christos Tryfono...
We examine data collected from on-line assessments of the numeracy and literacy skills of young students in order to construct probabilistic agent-based controllers. We demonstrat...
Elizabeth Sklar, Jordan Salvit, Christopher Camach...
Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...