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Equation (12) indicates that the proposed covariance model adaptation rule tries not only to make the trained covariance models less changed at the higher SNR condition but also to make them shrunk by the ratio of the sequence-level sample covariance to the global sample covariance at the lower SNR condition.
This is not surprising and in fact lies at the inherent difference between semi-supervised and supervised methods unlabeled examples could make the trained model susceptible to error propagation and thus wrong estimation.
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"We make the training available.
Anyway, she did make the train.
I was going to make the train.
"You can only make the trains so wide".
The Hogwarts guys make the trains run on time.
Bob likes to make the trains run on time".
15 groups of highway engineering data make the training sample and the confirmation sample.
Ten minutes later he lets me go, just in time to make the train.
"You can't make the trains bigger," he said, "but you can make them more productive.
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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