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Researchers refer to this challenge as the black box problem of machine learning.
It is a long existing problem of machine learning to train a classifier for text classification.
When a repairman finds more machines to repair than his capacity at a time, the problem of machine interference arises.
While excellent for sharing data in real time, they do nothing to solve the problem of machine interpretability of chemical data.
In this work, artificial intelligence in the form of automated planning is applied to the problem of machine tool pseudo-static geometric error calibration.
From the knowledge management point of view another problem of machine learning algorithms may arise: the "learned" knowledge can seldom be imported or exported in a human-readable way.
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There's still the problem of machine-gun speakers, of course, but I can catch up with Hansard".
In [18], the use of metrics based on information theory in problems of machine learning was introduced.
Kevin LaGrandeur, a professor at the New York Institute of Technology, recently wrote, "If a machine could truly be made to 'feel' guilt in its varying degrees, then would we have problems of machine suffering and machine 'suicide'"?
To demonstrate the application of various equations to practical problems of machine design or performance analysis, a number of numerical simulations are performed using the derived approach.
The approach can be used later to guarantee a better system performance when solving the problems of machine layout in the context of RMS.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com