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Then we use interaction frequencies predicted by the best statistical model to build a probability matrix as proposed by Vázquez et al. (2009 a ) to assess the ability of that model to predict aggregate network parameters.
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We then make each Yi a probabilistic function of Xi and Zi, encoding this function with a probability matrix.
The calls dataset also provided information about the distribution of calls across all the pairs of grids; we exploited this information to sample a realistic ensemble of origin-destination pairs and to build an origin-destination probability matrix.
We build a vector (row matrix) from the obtained matrix U1Σ11/2 by concatenating all rows, from 1 to 400, of matrix U1Σ11/2.
We build a rate matrix, which enhances the model of [ 45].
We use a fast heuristic which proved effective in practice: build a distance matrix for pairs of taxa and use simple clustering to build the ordering.
Build training matrix: To avoid duplicate calculating the frequency of a test and the joint frequency between two tests, we build a training matrix out of the training data.
Our design is to build a matrix that is close to a d-disjunct matrix using one ILP.
Our objective was to build a parameter compatibility matrix from the set of manually written compositions.
Then the new window is used as learning data to build a new similarity matrix.
We used the data sheet extractions to build a matrix.
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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