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After the training stage, we start the online forecasting stage.
Step 5. Check convergence: the training stage of NTPCA convergence.
However, SVM consumes more resources at the training stage.
During the training stage, the system automatically learns to associate the appearance of radar data with class labels.
Each participant performed two stages: the training stage and the perceiving stage.
Compared to the training stage of a cascade, a McCascade needs fewer time to be trained.
where C → u is the center of each cluster constructed in the training stage.
In the training stage, the positions of the loudspeaker was at (2, 3, 1.5) m.
The SRNR is estimated during the training stage according to the formulas given in Table 1.
This step can be seen as the training stage of a McCascade.
The training stage of a McCascade can be split into two steps: 1. Generate false-positives.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com