In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
End users develop more software than any other group of programmers, using software authoring devices such as e-mail filtering editors, by-demonstration macro builders, and spread...
Joseph R. Ruthruff, Margaret M. Burnett, Gregg Rot...
One of the visions of pervasive computing is using mobile computers to interact with networked devices. A question raised by this vision is: Should the userinterfaces of these dev...
We present MediaBroker, a distributed framework designed to support pervasive computing applications. Specifically, we propose an architecture consisting of a transport engine and...
Martin Modahl, Ilya Bagrak, Matthew Wolenetz, Phil...