The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Data-layout optimizations rearrange fields within objects, objects within objects, and objects within the heap, with the goal of increasing spatial locality. While the importance ...
—Opportunistic scheduling in random beamforming maximizes the sum-rate by allocating resources to the users with the best channel condition, thus leveraging on multiuser diversit...
Network processors today consists of multiple parallel processors (microengines) with support for multiple threads to exploit packet level parallelism inherent in network workload...
We propose an efficient scheme called CoReS (Configuration and Registration Scheme) that integrates address assignment and service location for ad hoc networks prevalent in pervasi...