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In addition to the biological relevance, increasing the size of the dataset is the best way to avoid overfitting of the algorithm with the rule-of-thumb to have at least 30 times as many training cases as there are weights in the network (10 times in our study); however for noise-free data, 5 times as many training cases as weights may be sufficient.
The class with the fewest number of representative samples limits how many training cases can be used.
The best way to avoid overfitting is to increase size of training data, so that it is sufficiently large relative to the number of model parameters (e.g., 5 times as many training cases as parameters).
The decrease in sensitivity for stop codons is mainly due to the many training cases where not all codons are present in the protein domain alignments, e.g. for short input sequences.
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LDA has shown to outperform PCA in the cases where there are many training samples [29].
Many train lines were simply shut down.
European police and intelligence authorities are conducting dozens of investigations into potential Islamic extremists and organizations linked by radical religious beliefs and, in many cases, training in Afghanistan, Chechnya and Bosnia.
Now, this advantage is being disrupted by the ability for anyone to create and leverage synthetic data to train computers across many use cases, including retail, robotics, autonomous vehicles, commerce and much more.
But in many cases, their training and equipment did not match their bravery.
"[P]rincipal investigators are currently under no obligation to provide opportunities for development" so "in many cases, any training that occurs is a byproduct of work".
You have substantial scientific and technical knowledge, but in many cases your training does not emphasize the skill of communicating your research in terms a layman can understand.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com