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where t i is an ideal output (either +1 or −1, depending on whether the corresponding support vector is a positive or negative example of a given class), and α i and d are the SVM parameters set during the training step.
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The LSE then parses the sample, allowing the linguist to find examples of a given structure, such as the verb without an object.
The instructive value of a collection like Coyne's is that there is not just one or two but multiple examples of a given object.
The service currently mostly uses texts that are freely available on the web to provide its users with real examples of a given language, but it's also using these language learners as volunteers to provide crowd-sourced translations.
To train this network to "think," scientists provide it with many solved examples of a given problem.
The participant is asked to name as many examples of a given category as possible, within 1 minute.
Furthermore, we have chosen to present specific quotes, of the many available, as examples of a given theme and do not intend imply mutually exclusive experiences for a given participant.
Figure 4 shows an example of how a given time series of length n is represented in a w-dimensional space using the above steps.
This paper addresses the well-known classification task of data mining, where the goal is to discover rules predicting the class of examples (records of a given dataset).
For any training example d, instead of a given target value t d, we need some other values.
Here's an example of a thanks given en masse; it's from a second grade painting class.
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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