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The sample training was implemented on an Instron E3000.
Apply Equation 20 to the sample training set in Figure 6.5 to estimate the best value of for this sample.
After collecting the fluorescent images of the soybean milk samples, the top seven wavelet moment invariants are selected according to the sample training and experimental comparison.
After the free app is installed, you can try a sample training battle with no plane required.
Thus, through sufficient sample training, the more effective SVR model of JLUBR-IRIS dataset was established.
Four edge orientations were used in the sample training task: 0∘, 45∘, 90∘ and 135∘.
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Both contexts involved match-to-sample training and testing with abstract stimuli, but one involved referring to the stimuli as the names and sounds of "animals".
At first, DWT is used to decompose the in-sample training dataset of the time series into linear (detailed) and non-linear (approximate) parts.
Figure 9 plots the results for the out-sample training.
As in [5], we consider 3 years of in-sample training, in detail (3times 365) days.
A 61-sample training set containing 36 TAA patients (24 males and 12 females) and 25 controls (7 males, 18 females) were used to select classifier genes and construct a classification model.
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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