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During this process, rats received reminder training using the pre-trained initial odor, as described above.
"We did that all spring training, using the same glove," Weber said.
Character-level embeddings were optimised during training using the same approach described in [18].
Personality was measured before training using the NEO Five-Factor Inventory (NEO-FFI).
The weights of these components can be learnt at the time of training using the EM algorithm.
In this subsection, we present the results of the training using the open dataset cited in Section 6.1.
Surprisingly, however, training using the core to extremity approach does actually accentuate the development of muscles such as the biceps brachii.
Data obtained through a follow up questionnaire indicated that the students are more likely to identify hazards following the training using the serious game.
The studies reported a significant increase of tendon stiffness solely following the training using the high contraction intensities (i.e., 90% MVC, 70% RM, 80% eccentric RM, respectively).
Both the predictions calculated during model training (using the optimal parameter values), i.e. cross-validated predictions, as well as the predictions on the test set were used.
We performed a few iterations of sequential training using the sMBR criterion with a small learning rate on student DNNs following soft target training with cross-entropy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com