Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Update anywhere-anytime-anyway transactional replication has unstable behavior as the workload scales up. To reduce this problem, a two-tier replication algorithm is proposed in [...
Problems arising from the revision of propositional knowledge bases have been intensively studied for two decades. Many different approaches to revision have thus been suggested, w...
In this paper, we develop a general framework for approximate nearest neighbor queries. We categorize the current approaches for nearest neighbor query processing based on either ...