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Well as the web continues to grow search engines like Google are becoming too broad with the relevancy value based solely on keywords dropping.
Word2Vec service's API (Fig. 8) in the relevancy server was implemented as a TCP server, which accepted words of tweets as input, and returned calculated relevancy value as a response.
At the end of the iteration, each vertex updates its relevancy value according to the received information.
To achieve this goal, we associate each sample x i with a relevancy value f i, where f i =1 for all query samples and f i ∈[0, 1] for all unknown samples.
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In Figure 1, the relevancy values are color coded, i.e. a red indicates a high-relevancy value and a blue indicates a low-relevancy value.
Step 3: Compute relevancy values of the samples by solving the matrix problem in equation (16 ).
Note that the query vertices only transmit their relevancy information and will never update their relevancy values.
Sort the relevancy values of all samples, and select some top ranked samples as the final result.
Therefore, the key to the ranking algorithm is to precisely compute the relevancy values of all unknown samples.
We then sort the relevancy values of all unknown samples and select the top ranked samples as retrieved samples, which constitute our predicted miRNA precursors.
It can be seen that the method successfully propagates the query belief to the unknown samples so that the samples that are closer to the query have higher relevancy values.
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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