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Note that only the VScomponent branch is depicted due to the model size, and each running component is associated with a selected feature.
To construct a decision tree, samples in the training set are sorted according to the values of a selected feature and the branch point is determined to achieve large separation between classes [40].
In[5], a heuristically defined distortion function was parametrized and then optimized to obtain the smallest detectability in terms of a margin between classes within a selected feature space (cover model).
Five thresholds are computed for each feature, based on the estimated PDFs (Figure 2). Figure 2 Probability density function for a selected feature (standard deviation of the short-time energy).
The motion can be approximated by affine motion in a small window around a selected feature in the image.
Hence, the similarity t between a selected feature f i and the Gaussian distribution of the searched object property can be calculated for each pixel x, y.
Similar(51)
Pulse height spectra are given for a selected features.
First, a comparison among selected feature selection methods is provided based on accuracy and stability.
For example, a union set of all selected features from different methods can be used for prediction.
A properly selected feature set, not only leads to higher classification accuracy, but also results in a faster computation and reduction in storage capacity.
Clicking on a feature selects it so it will remain highlighted until another feature is selected; clicking an already selected feature will deselect it.
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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