We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Dynamic voltage and frequency scaling has been identified as one of the most effective ways to reduce power dissipation. This paper discusses a compilation strategy that identifies...
Reducing power, on both a per cycle basis and as the total energy used over the lifetime of an application, has become more important as small and embedded devices become increasi...
Power dissipation is a major concern not only for portable systems, but also for high-performance systems. In the past, energy consumption and processor heating was reduced mainly...