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The Beta matrix describes the relationship of the endogenous variables to each other.
The Phi matrix describes the relationship of the exogenous variables to each other.
The Gamma matrix describes the direct effects of the exogenous variables on the endogenous variables.
The Laplacian matrix describes the complete relationship of the intersection network.
The term-weight matrix describes the TF-IDF weight of terms in the domains.
The confusion matrix describes the performance of our classification model on the test set.
where (varPhi in {mathbb R}^{m times N}) is a matrix describing the sensing mechanism.
The ({varvec{Q}}_{p=0}) matrix describes the induction effect on nonzero seasonal harmonics when (p=0).
A term-document matrix describes the frequency of terms that occur in a collection of documents.
Differential motion matrix describes the relationship between transforming differential changes of coordinate frames.
The chosen precoding scheme is zero-forcing, where the precoding matrix inverts the imperfect channel matrix describing the received CSI.
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