Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
We propose a sensornet programming model based on declarative spatio-temporal constraints on events only, not sensors. Where previous approaches conflate events and sensors becaus...
Supercomputer architects strive to maximize the performance of scientific applications. Unfortunately, the large, unwieldy nature of most scientific applications has lead to the...
Richard C. Murphy, Arun Rodrigues, Peter M. Kogge,...
We study the distributed complexity of computing a maximal independent set (MIS) in radio networks with completely unknown topology, asynchronous wake-up, and no collision detecti...
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...