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The phrase "addressing machine" is correct and usable in written English.
It can be used to refer to a device or system that is designed to print or apply addresses on mail or packages.
Example: "The post office uses an addressing machine to ensure that all packages are labeled correctly before shipping."
Alternatives: "labeling machine" or "address printer".
Exact(1)
The effectiveness in managing FMSs includes addressing machine loading, scheduling parts and dispatching vehicles and the quality of the solution.
Similar(59)
The last candidate mailers, those glossy postcards of staged photos and canned promises, clattered off the addressing machines at 300 per minute.
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].
In this section, we will discuss the statistics methods while addressing the machine learning-based methods in the next section.
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.
This chapter focuses on potential problems that must be addressed when machine learning is used and follows a practical approach to demonstrate how support vector machines and genetic programming can predict miRNA genes and targets.
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.
The problem of solar irradiance forecasting can be well addressed by machine learning methodologies over historical data set.
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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