We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
— Denial-of-service attacks are becoming more frequent and sophisticated. Researchers have proposed a variety of defenses, including better system configurations, infrastructure...
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
In recent years several successful GALS realizations have been presented. The core of a GALS system is a locally synchronous island that is designed using industry standard synchr...