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This system uses a small set of hand-written rules to heuristically label training examples from the Penn Treebank.
Our first algorithm, state abstraction from demonstration (AfD), uses a small set of human demonstrations of the task the agent must learn to determine a state-space abstraction.
The RBF technique uses a small set of the actual data of the implicit performance functions, which are obtained via physical experiments or normal numerical analysis such as finite element methods for the complicated structural system, and are used to develop a trained RBF generalization algorithm.
The pattern generation module uses a small set of supervised patterns to automatically search and build a large and comprehensive pattern set.
The derived model uses a small set of variable types included below: Patient age used as squared value.
In the present study, we demonstrated a DNA fingerprinting method that uses a small set of SNP markers to verify the genetic identity of a single bud or leaf.
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The adaptive environment as well as parentage of these varieties corresponded well with the clustering pattern obtained using a small set of these markers, that further suggested the usefulness of the designed markers in realistic assessment of genetic diversity.
Learning is done using a small set of keyframes manually created by an animator.
We calculate these efficiencies using a small set of indicators for assessing aspects of multifunctionality.
The implementation of the model should be accomplished using a small set of experimental data.
We use a small set of explanatory variables which are exogenous to health insurance.
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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