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The subset of features X having a size L∈[1,J] from the ranked features can be selected based on a selection threshold θ. x j ∈ X ⇔ c r ≤ θ (5).
The dependence of selection threshold on the number of selected features for 5 gene expression databases.
Figure 1 illustrates this observation by the dependencies of the normalized number of selected features z s on the selection threshold.
Leave one out cross-validation is performed using the training set of individual features that are selected based on a specified value of selection threshold.
Table 1 Parameter values experimentally selected Stage Parameter Symbol Value Preprocessing Partial selection threshold μ 0.1 Zero padding factor z 4 Candidate selection Min.
A common framework to select the most important set of features is provided by applying a selection threshold.
where κ is the selection threshold.
Amplitudes of magnitude variations are found from our minimum selection threshold up to several magnitudes.
The SAMP algorithm does not have constraints with atom selection threshold and has high reconstruction accuracy.
and g is the validation selection threshold, which depends on the gating probability P G [6, 22].
To improve the accuracy of the inversion, we set a selection threshold of 6.4e−4 s for candidate velocity models.
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