The ability to model changes in preferences is crucially important for sound decision making and effective communication. Much has been written about strategies for changing belie...
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
This paper reports our novel approach to developing a social robot. Such a robot reads human relationships from their physical behavior. We have developed an interactive humanoid r...
In this paper, we proposed a novel decision fusion scheme based on the psychological observations on human beings’ visual and aural attention characteristics, which combines a se...