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Exact(6)
Given a collection of training examples, the system extracts signal descriptors.
Two examples: the system of verifying ideas for the proposition A "Caesar was a good citizen", relative to the variable "Caesar", is VA (Caesar) = {Socrates, Aristeides,...}...}
Inductive learning is achieved by involving the process of learning from examples: the system induces a general rule from a set of observed instances.
As representative examples, the system is demonstrated for quantitatively measuring the liquids of a fetal fibronectin enzyme linked immunosorbent assay (ELISA) and for differentiating the color of pH test strips.
From these examples, the system is expected to learn a way of classifying unseen examples [ 21].
However, in the examples, the system state comprises the system angular position and velocity, and thus, state feedback (3) is equivalent to delayed PD control.
Similar(53)
For example, the system of checks and balances.
For example, the system must develop from thousands of one-on-one interactions (ants encountering ants, passers-by on sidewalks).
Between 2001 and 2008, for example, the system would have yielded from five to nine nominees in various years.
Then, when a customer orders a plain hamburger, for example, the system would know what similar foods are available that were prepared earlier than the burger.
For example, the system's operator should have to confirm that such legal safeguards as search warrants have been approved before monitoring can begin.
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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