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Latent Dirichlet Allocation (LDA) [44] is a popular topic modeling technique which models text documents as mixtures of latent topics, which are key concepts presented in the text.
Scaffolded feedback, for instance, in a writing classroom may include models, text types, cues, revision prompts, hints, possible solutions to revision problems, as well as direct instruction (Hartman, 2002).
Two linear regression models (Text S2) were developed for the dependent variable (metabolic activity).
These probabilistic models provide estimates for the variance and credibility interval for each transcript and generate more accurate estimates of low levels of gene expression on benchmark datasets when compared with other stochastic models (Text S1).
We compared our models (TEXT S1 S3) with the previous ones and found that our models included more metabolic genes because the deep sequencing has been proven to lead to the identification of large populations of novel as well as missing transcripts that might reflect Hydra-specific evolutionary events [ 32].
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He is working with two colleagues on codifying a model text for a same-sex ceremony.
Catullus's 95th poem hails the obscure epyllion Zmyrna by Gaius Helvius Cinna as a model text of the new movement.
PolCouns stressed the importance of starting negotiations on an Additional Protocol as soon as possible, relaying that such agreements usually take about a year to conclude but that IAEA Legal could have a model text ready quickly if the Indians ask to begin negotiations.
We then propose a specific nonparametric Bayesian topic model for modelling text from social media.
Fig. 15 Increasing link-prediction error under linear threshold model: (text {OAS}_{text {mg}}) in small-world network.
Fig. 17 Increasing link-prediction error under linear threshold model: (text {OAS}_{text {mg}}) in scale-free network.
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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