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Calibrated model accuracy is defined as the average of normalized traces of model prediction covariance matrices, each of which is constructed from a randomly generated sampling set of calibration parameter values.
The 3D faces are available in the form of four matrices, each of size 640 × 480.
In the case of channel vectors or matrices, each of the entries is independently modeled as in (38).
for is the subfilter to be identified and (29). is a matrix constructed by Fourier matrices each of size.
Two experimental matrices, each of 11 experiments, were designed, then experimentally performed and the corresponding fluorescence intensities were measured.
It is worth mentioning that the dual problem involves just K scalar variables, however, the primary problem contains K unknown matrices each of size N i × N i.
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On page 6.3.1 we introduced the notion of a term-document matrix: an matrix, each of whose rows represents a term and each of whose columns represents a document in the collection.
Let us define a matrix A ≜ (P H P + a I -1P H I -1P5) and A can be furtHer dinided into Q + 15sub-mandices, eAcanof which is of size L × N p. More specifically, A can be expressed as A = A q = 0 L × N p T A q = 1 L × N p T … A q = Q L × N p T ( Q + 1 ) L × N p T. (16).
Consider two 16K×16K matrices, each composed of four 8K×8K square blocks.
We imaged each sample three times, derived the Mueller matrices, decomposed each of the matrices and calculated total, linear and circular depolarizations.
(W_{1},...,W_{n}) are the weight matrices for each of the FC layers, and (W_{o}) is the weight matrix of the output layer.
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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