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These results indicate that, on a limited dataset, the trained parameters should generalize well to other platforms and are likely robust to overfitting.
And performers should be well trained, unlike Raymond in 1978.
There should be well trained and qualified personnel at the health center".
The personnel should be well trained, also regarding the management of (rare) severe acute reactions.
By now, you should be well trained in relaxing.
The network memorizes the training set and does not generalize well when the network is trained too much [19].
Our results also show that by combining the training data from known positions in a room, we could train NNs which generalize well, so that the NNs could also perform well for unknown positions in the same room.
It shows that by combining the training data from known positions in a room, we could train NN sets which generalize well, so that the NN sets could also perform well for unknown positions in the same room.
As a result, supervised classifiers trained on reference strains may not generalize well to diverged strains; ssG's semi-supervised approach, on the other hand, adapts automatically.
This similarity has the practical consequence that neural prosthetics trained using forced choices will likely generalize well to free choices (Musallam et al., 2004; Santhanam et al., 2006).
In this case when the number of topics becomes too large, the model captures the peculiarity of the training data and will likely not generalize well on new data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com