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With location parameter t (the median for the distribution, it does not have a mean) and scale parameter s, the probability density function for the Cauchy distribution isThe case in which s = 1 and t = 0 is known as the standard Cauchy distribution, which is given by.
For all features and outputs, subtract the mean and scale to unit variance.
Both of the MMFB features were normalized using the short-time mean and scale normalization (STMSN) method [19] with a sliding window of 1.5 s duration.
For feature normalization, a short-term mean and scale normalization (STMSN) technique is used with a sliding window of 1.5 s.
Under mismatched conditions, STMSN helps to remove the difference of log spectrum between the training and test environments by adjusting the short-term mean and scale [19].
The scale mean and scale standard deviation were derived.
Similar(52)
All descriptor values were centered to zero mean and scaled to unit variance.
Molecular descriptors are statistically pre-processed, e.g., by centering their values to zero mean and scaling them to unit variance.
Subsequently, the remaining descriptors were centered to zero mean and scaled to unit variance with the function PreProcess from the R package camb.
Prior to model training, all descriptors were centered to have zero mean and scaled to have unit variance using the function PreProcess.
All samples were centered by subtracting the sample mean and scaled by dividing by the sample standard deviation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com