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Objective This study aimed to assess functional disability and associated factors among people with severe mental illness attending public hospitals in Harar town, Eastern Ethiopia. Setting An ...
Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals and made ...
This article addresses the problem of finding online solutions to time-varying underdetermined linear systems with limits on states and their derivatives through a novel zeroing neural network (ZNN) ...
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Linear Regression with Gradient Descent | Machine Learning Made Simple
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By extending the scope of a key insight behind Fermat’s Last Theorem, four mathematicians have made great strides toward ...
Paleontologists identified a new ancient reptile appendage. And, how fast did dinosaurs run? A longstanding equation for dino ...
Several definitions of universal optimality of experimental designs are found in the literature; we discuss the interrelations of these definitions using a recent characterization due to Friedland of ...
The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a community-driven, open programming specification for graph analysis. The specification makes the development of high-performance graph ...
This article also explains why assuming a linear relationship between the independent and dependent variable might be inappropriate, and describes how to use splines or fractional polynomials to model ...
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