Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
— We extend techniques for a reachability-based ion to continuous systems under shared control, that is, systems which have both inputs controlled by the automation and inputs co...
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Over the last 100 years it has become much easier to operate a car. However in recent years the number of functions a user can control while driving has greatly increased. Infotai...
Automakers are trying to make vehicles more intelligent and safe by embedding processors which can be used to implement by-wire applications for taking smart decisions on the road...