In classical two-stage stochastic programming the expected value of the total costs is minimized. Recently, mean-risk models - studied in mathematical finance for several decades -...
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Abstract. Current in-network programming protocols for sensor networks allow an attacker to gain control of the network or disrupt its proper functionality by disseminating malicio...
Well-designed object-oriented programs typically consist of a few key classes that work tightly together to provide the bulk of the functionality. As such, these key classes are e...
Andy Zaidman, Toon Calders, Serge Demeyer, Jan Par...
Existing cognitive agent programming languages that are based on the BDI model employ logical representation and reasoning for implementing the beliefs of agents. In these programm...