Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
Although computer systems penetrate all facets of society, the software running those systems may contain many errors. Producing high quality software appears to be difficult and v...
Important parameters in quantitative coronary angiography (QCA) are the severity and length of the lesion, the radius of the nonstenotic part of the affected vessel segment and th...
J. Christiaens, Rik Van de Walle, P. Gheeraert, Y....
The quick construction of the Shortest Path Tree (SPT) is essential to achieve fast routing speed for an interior network using link state protocols, such as OSPF and IS-IS. Whene...
Bin Xiao, Qingfeng Zhuge, Zili Shao, Edwin Hsing-M...