Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
There are many metrics designed to assist in the performance debugging of large-scale parallel applications. We describe a new technique, called True Zeroing, that permits direct ...
Cyber-physical systems (CPS) are becoming ubiquitous. Almost every device today has a controller that reads inputs through sensors, does some processing and then performs actions t...
The optimization of integrated spiral inductors has great practical importance. Previous optimization methods used in this field are either too slow or depend on very simplified a...
We present a novel approach to non-monotonic ILP and its implementation called tal (Top-directed Abductive Learning). tal overcomes some of the completeness problems of ILP systems...