We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
Thread-level speculation is a technique that brings thread-level parallelism beyond the data-flow limit by executing a piece of code ahead of time speculatively before all its inp...
Xiao-Feng Li, Zhao-Hui Du, Chen Yang, Chu-Cheow Li...
High-end parallel systems present a tremendous research challenge on how to best allocate their resources to match dynamic workload characteristics and user habits that are often ...
— The problem of achieving fairness in the allocation of the bandwidth resource on a link shared by multiple flows of traffic has been extensively researched over the last deca...
Web user search customization research has been fueled by the recognition that if the WWW is to attain to its optimal potential as an interactive medium the development of new and...