Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...
With the shift towards chip multiprocessors (CMPs), exploiting and managing parallelism has become a central problem in computer systems. Many issues of parallelism management boi...
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Chip multiprocessors enable continued performance scaling with increasingly many cores per chip. As the throughput of computation outpaces available memory bandwidth, however, the...
Doe Hyun Yoon, Min Kyu Jeong, Michael Sullivan, Ma...