In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El G...
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...
—We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is ...
Hirotaka Yamazaki, Ivan Tanev, Tomoyuki Hiroyasu, ...
Modern embedded CPU systems rely on a growing number of software features, but this growth increases the memory footprint and increases the need for efficient instruction and data...
Mutation analysis is a widely-adopted strategy in software testing with two main purposes: measuring the quality of test suites, and identifying redundant code in programs. Simila...