Exact(2)
Our experimental findings confirm that more information can be extracted with two senders in a multidimensional setting.
In a recent paper we developed a new algorithm for the moment-constrained maximum entropy problem in a multidimensional setting, using a multidimensional orthogonal polynomial basis in the dual space of Lagrange multipliers to achieve numerical stability and rapid convergence of the Newton iterations.
Similar(57)
This new decomposition generalizes the HOSVD and highlights the correlated data in a multidimensional set.
In summary, our results indicate that response to depression treatment in type 2 diabetes is influenced by a multidimensional set of factors.
If the CA method is used for samples grouping original variables, PCA estimates the correlation structure of the variables by finding hypothetical new variables (principal components - PC) that account for as much as possible of the variance (or correlation) in a multidimensional data set.
This was also shown in a principal component analysis, which is an exploratory multivariate statistical technique that allows identification of variables in a multidimensional data set that explains differences or similarities between observations better than hierarchical clustering (Figure 5).
It is appropriate to make simplifications that allow the expression of a large number of variables with a smaller number of so-called latent variables to determine dependency (correlation) in a multidimensional data set.
Link prediction has also been approached in the multidimensional setting [12] and in multi-relational networks [13], however, these works build on features that are endogenous to the system that hosts the network of users.
In a multidimensional exploratory approach, a microarray data set is usually analyzed by multivariate analysis (MVA) among which Principal Components Analysis (PCA) is the most used.
Information contained in a set of data is then represented by a set of points in a multidimensional space.
Let I be a set of objects in a multidimensional space.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com