In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
The objective of YushanNet is to provide a reliable and robust system for hiker tracking in Yushan National Park, Taiwan. The aggregated information can help national parks to pro...
In this paper we propose DFL -- a formal, graphical workflow language for dataflows, i.e., workflows where large amounts of complex data are manipulated, and the structure of the ...
Jan Hidders, Natalia Kwasnikowska, Jacek Sroka, Je...