Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
—Knowledge representation is one of important factors that determine human performance on cognitive tasks. Due to different levels of experience, different groups of people may d...
Clinical guidelines are becoming more and more important as a means to improve the quality of care by supporting medical staff. Modelling guidelines in a computer-processable form ...
Andreas Seyfang, Silvia Miksch, Cristina Polo-Cond...
Surface representation and processing is one of the key topics in computer graphics and geometric modeling, since it greatly affects the range of possible applications. In this pa...