Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
Abstract. We present a method to test a group of agents for (unwanted) emergent behavior by using techniques from learning of cooperative behavior. The general idea is to mimick us...
A difficult challenge in the industrialisation of Model-Driven Development is managing different versions of models. Different versions may arise at any time during the development...
Klaus-D. Engel, Richard F. Paige, Dimitrios S. Kol...
This research presents optimized maintenance design using simulation to analyze the capability of auto part manufacturing production system. The integration of simulation and opti...
Ahad Ali, Xiaohui Chen, Ziming Yang, Jay Lee, Jun ...
In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-onChip (NoC). Our goal is to construct a versatile modeling framewor...