Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...
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Abstract: The study of ensemble learning in knowledge graph embedding (KGE) shows that combining multiple individual KGE models can perform better on knowledge graph completion. However, existing KGE ...
Abstract: In this paper, we analyze the local identifiability of parameters in linear systems whose system matrix is given by a graph Laplacian. Graph Laplacian is a matrix given by a graph and the ...
A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...
Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan ...
Correspondence to Dr John Swiston, Division of Respiratory Medicine, University of British Columbia, Vancouver General Hospital 2775 Laurel Street, 7th Floor, Vancouver, BC V5Z 1M9, Canada; swiston{at ...
Introduction Hospitals are complex systems and optimising their function is critical to the provision of high quality, cost effective healthcare. Metrics of performance have to date focused on the ...
Department of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, 1111Budapest, Hungary Department of Fine Chemicals and Environmental Technology, ...
The mass of the Sun is roughly \(1,989,100,000,000,000,000,000,000,000,000 \text{ kg}\). The charge of an electron is around \(0.0000000000000000001602 \text {C ...
Linear programming, width-1 CSPs, and robust satisfaction (pps) EaGL IV, 2011. Pareto optimal solutions for smoothed analysts (pps) IAS, 2011. A regularity lemma for low noisy-influences (pps) LTF-PTF ...
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