Sentence examples for min-max scaling from inspiring English sources

Since amplitude variation exists between the MIDI and input humming, min-max scaling is used to compensate.

The extracted pitch values are normalized by the mean-shifting, median filtering, average filtering, and min-max scaling methods.

Since an amplitude variation exists between the MIDI and input humming, min-max scaling can be used to compensate [13 15, 17, 18].

To overcome these problems, the pitch values of humming and MIDI are normalized; this includes mean-shifting, median filtering, average filtering, and min-max scaling as follows [13 15, 17, 18]. Figure 1 Overall procedure of the proposed method.

We also normalized the features of the music and humming data through mean-shifting, median and average filtering, and the min-max scaling method to eliminate the surrounding and peak noises that occur during recording.

This normalization is a Min-Max scaling applied as it follows: O t) = frac{hat{O}(t) - min{O t)}}{max{O t)}-min{O t)}} where (hat {O}(t)) and O t), respectively, stand for the initial and normalized times series, and min and max represent the minimum and maximum operators, respectively.

Through the combination of the MMSE and the Min-max, the large scale location error due to the NLOS effects can be effectively compensated.

The variations in the inner scale with the min-max values of 0 and 0.15, i.e., 0% to 7.87%, are absorbed when the beam steering is turned on.

Due to the scaling sensitivity of inputs fed into the neural network, we set the inputs in the same scale by normalizing temperature with a min-max scaler.

Min-max (MM) [27] transforms all the raw scores to [0, 1] range while retaining the original score distribution except for a scaling factor.

We show that interesting timing queries involving a combination of min and max can be expressed in Min-max CTL.