The central goals of most introductory linear algebra courses are to develop students' proficiency with matrix techniques, to promote their understanding of key concepts, and to increase their ability ...

Xue Ding, Tiefeng Jiang, SPECTRAL DISTRIBUTIONS OF ADJACENCY AND LAPLACIAN MATRICES OF RANDOM GRAPHS, The Annals of Applied Probability, Vol. 20, No. 6 (December 2010), pp. 2086-2117 ...

Unified Adjacency Theory (UAT) proposes that reality is an auto-poietic, self-identifying, self-referential, and self-evolving dynamic network of dialectic relations. In this paradigm, all fundamental ...

Dynamic Adjacency Matrix Learning and Multi-Order Random Walk Aggregation for Alzheimer’s Disease Diagnosis From Resting-State fMRI Alzheimer’s disease (AD) is a progressive, irreversible ...

In this paper, we propose a Dynamic Multi-Scale Brain Network (DMSBN) model based on resting-state fMRI, which improves the discriminative ability and biological interpretability of the model through ...