Abstract—Intentional interference constitutes a major threat for communication networks operating over a shared medium where availability is imperative. Jamming attacks are often...
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
This paper introduces a programming interface called PARRAY (or Parallelizing ARRAYs) that supports system-level succinct programming for heterogeneous parallel systems like GPU c...
The RESER workshop provides a venue in which empirical software engineering researchers can discuss the theoretical foundations and methods of replication, as well as present the ...
Jonathan L. Krein, Charles D. Knutson, Lutz Preche...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...