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Exact(10)
Specifically, the pooled training and development data sets are randomly divided into 10 sub-corpus of nearly equal size.
In order to make the best of annotated corpus, we pooled the training and development data sets.
In order to reduce data sparsity in the annotated training and development data sets, word representations were induced from pooled training, development, test and background data sets by Brown clustering method.
Our method's improved performance results from screening many potentially relevant protein features and from refining our development data sets.
For training and testing, stratified 5-fold cross-validation was performed with each of the three sequence unique development data sets described before.
Since auxin is central to root growth and development, data sets supporting the study were further explored for evidence which may link perturbed auxin homeostasis to differential response of developmental genes during salt stress.
Similar(50)
The initial set of 53 results (development data set) used to test and develop the search strategy was used to explore the sensitivity, specificity, precision, and NNR for both the PH and health-evidence.ca SR search filters.
The development data set was used to test and develop the initial health-evidence.ca SR search strategy while the validation data set was used to validate the health-evidence.ca SR search filter.
Optionally perform bottom up pruning on a held-out development data set.
The parameter β controls the sparsity level and is usually tuned on a development data set.
The reference text contained weighted form of all key phrases which occurred in a development data set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com