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The phrase "address machine" is correct and usable in written English.
It can be used in contexts related to technology, specifically when referring to a device or system that processes or manages addresses, such as in mailing or networking.
Example: "The address machine efficiently sorts and organizes all incoming mail based on the recipient's address."
Alternatives: "addressing device" or "address processing system".
Exact(2)
Adding the decentralized model as a separate offering to address machine and distributed data needs will not only be costly but also be technically very challenging for cloud vendors.
Particularly, the use of programmable quantum processors has been investigated to address machine learning tasks such as pattern matching [4], binary classification [5 8], feedback-adaptive quantum measurements [9], learning of unitary transformations [10], 'probably approximately correct' learning [11], and unsupervised clustering [12].
Similar(58)
The effectiveness in managing FMSs includes addressing machine loading, scheduling parts and dispatching vehicles and the quality of the solution.
The paper addresses machine reliability consideration by Weibull and exponential distribution approach in designing a cellular manufacturing system (CMS).
The second addresses machine representation for automated situation and impact assessments, while the third examines machine reasoning for automated situation and impact assessments.
When Andrew sends an email to [email protected], his computer needs to know the IP address for the destination machine (the mailserver named geekcorps.org).org
The paper addresses machining of different ceramics and advanced ceramics by Electro discharge machining.
The present study addresses machining of free-form surfaces on a 3-axis NC machine tool.
The last candidate mailers, those glossy postcards of staged photos and canned promises, clattered off the addressing machines at 300 per minute.
To address this, machine learning and deep learning methods have been used and achieved promising results.
Though varied, many of these problems may be addressed using machine learning techniques, including supervised learning in particular.
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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