In this paper, we demonstrate that the main standard optimization techniques dependency directed backtracking and model merging can be adapted to description logics with concrete ...
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
Over the last five years, a range of projects have focused on progressively more elaborated techniques for adaptive news delivery. However, the adaptation process in these systems...
Jae-wook Ahn, Peter Brusilovsky, Jonathan Grady, D...
Dynamic voltage and frequency scaling (DVFS) is a widely-used method for energy-efficient computing. In this paper, we present a new intra-task online DVFS scheme for multiple clo...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...