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MOG doesn't have that problem because they pay the labels a set fee per user every month.
After inferring labels, a set of annotated examples is generated by associating high dimensional temporal data to one dimensional target labels inferred from time series of interest, begin{aligned} forall x_i in X, x_i rightarrow l_i, D = left{ left( x_{1},l_{1} right), left( x_{2},l_{2} right),ldots,left( x_{N-Delta r},;l_{N-Delta r} right) right}.
This labeling is called distant supervision because the user automatically labels a set of training data using known entities or relationships from an independent data source.
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Privacy officials then label a set of suspicious and non-suspicious access events using an iterative refinement process.
In order to evaluate the proposed algorithm a large ground truth dataset was created by manually labelling a set of 100 images from 20 different colonoscopy videos.
We propose using the Focus to Emphasize Tone (FET) analysis, which includes: (i) generating the constraints for foci, speaker's intention and prosodic features, (ii) defining the intonation patterns, (iii) labelling a set of prosodic marks for a sentence.
Moreover, specialists labeled a set of cells belonging to images with fluorescent cells since our recognition approach requires the labels of individual cells to train the corresponding classifier.
Thus, anchored training provides a way to build supervised models without the high cost associated with manually labeling a set of training instances.
To train a classifier using a C-SVM and a linear kernel we labeled a set of detected indel candidates by reliable Sanger sequencing as true (positive class) and false indels (negative class).
In filtering-based approaches, finding the most efficient subset of labels given a set of data and its class labels is possible through a method called maximum dependency.
For a feature label or a set of feature labels, the fusion planning engine is to discover and schedule a sequence of algorithms in the algorithm pool triggered by the feature label(s).
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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