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The easiest way is to use a learning machine with only one output, which is compared to a threshold in order to decide in favor of the null or the alternative hypothesis.
Wrapper methods use a learning machine to measure the quality of the subsets of features.
Wrapper methods use a learning machine to measure the quality of subsets of features.
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Coelho introduced a new artificial immune network algorithm to realize automatic feature selection using the EEG signal power spectral density feature, which used an extreme learning machine as a classifier [ 2].
In the final step, a learning machine is used to construct a predictive model.
Therefore, we suggest a new learning algorithm for CNNs using an extreme learning machine (ELM).
In a second phase, they use a machine learning classifier to derive a range-based fragmentation.
An alternative approach is to use a machine learning algorithm to virtually screen a database of compounds.
Although the researchers were not the first to consider creating master fingerprints, they were the first to use a machine learning algorithm to create working master prints.
Therefore, we use a machine learning technique to acquire a similarity metric by combining various features.
van Laarhoven et al. (2011) use a machine learning method starting from a DTI network to predict new ones with high accuracy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com