We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Recent research has shown that near optimal performance can be achieved by adaptive block replacement policies that use user-level hints regarding the block reference pattern. How...
Jongmoo Choi, Sam H. Noh, Sang Lyul Min, Yookun Ch...
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Cerebellar models have long been advocated as viable models for robot dynamics control. Building on an increasing insight in and knowledge of the biological cerebellum, many model...
Moving range queries over mobile objects are important in many location management applications. There have been quite a few research works in this area. However, all existing solu...