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Here, the task is to predict the activity of a compound, where the AD is used to estimate the relative quantitative prediction error.
The task is to predict whether a new ternary materials system would be compound forming or not, with the prediction to be based on knowledge of many other known exemplars.
One way to develop such systems is using the multi-instance learning (MIL) approach: a generalization of the traditional supervised learning where each example is a labeled bag that is composed of unlabeled instances, and the task is to predict the labels of unseen bags.
The task is to predict the functional classes of unlabeled proteins.
We are given a set of labeled proteins of known functional classes, and the task is to predict the functions of the remaining nodes of unlabeled proteins.
From an algorithmic point of view, the task is to predict the response of the mesophenotype to the emergent properties of the lower scale, and then use that prediction as input to the upper scale.
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The task was to predict the hourly power generation at seven wind farms, 48 hours ahead.
They found that when the task was to predict intellectual achievement or job performance, self-assessments were of similar validity to teacher judgments and test results.
In the first analysis, only those trials corresponding to the presentation of a particular modality were used as input to the classifier and the task was to predict semantic category from EEG data.
As described in the Introduction, the task was to predict measurements of proteins and/or cytokines, in normal and cancerous cells, for combinatoric perturbations of stimuli and inhibitors of a signaling pathway.
The task was to predict whether a given human to HIV-1 protein pair interacts or not.
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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