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However, the feature importance score generated by machine learning methods is not statistically interpretable, which hampers its application in practice like medical diagnosis.
Programmatic Media buying can use propensity models, generated by machine learning algorithms, to more effectively target ads at the most relevant customers.
A set of "rules" for redundancy can be generated by machine learning, which uses the attributes of known examples of positive and negative cases in training sets to classify unknown cases [ 20].
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The second focus of this publication addresses gene set enrichment analysis under special consideration of the spot-clusters generated by SOM machine learning.
The world is quietly being reshaped by machine learning.
Finally, we assume that the algorithm generated by the machine learning process, when run, outputs works that are both novel meaning that they are not copies of any existing work and surprising meaning that the output is not a predictable transformation of an existing work.
A product of advancements generated by automation, machine learning and the cloud, security-as-a-platform will provide a single truth from which to work from.
Such a supervised feature selection framework is highly demanded in making clinical decisions compared to the 'black box' predictive models generated by traditional machine learning algorithms.
These classifiers could be generated by applying assorted machine learning algorithms or from different training and/or test sets.
These guys have developed a way to automatically generate Wikibooks using machine learning.
Consequently, the DEG list generated by the statistical methods or the machine learning algorithms often involves a number of false positive genes, which are not associated with the phenotypic differences between the compared clinical samples, and subsequently impacts the reliability of the predictive models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com