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Moreover, by (4.1), the homogeneous components ψ i, 1 ≤ i ≤ n − 1, of ψ are given by ψ i (L ) = g i (L, x ) + g i (L, y ) − g i (L, x + y ).
Then, the historical reputation of SU i at the L th sensing slot can be normalized as Rep i L = r i L max i r i L, r i L > 0 0, r i L ≤ 0 (25).
where b i l and c i l are the control parameters.
In this article, we adopt a simple way to obtain the trustworthiness degree by normalizing the sum of current reliability and historical reputation as the preliminary effort, which is Tru i L = Rel i L + Rep i L max i Rel i L + Rep i L, Rep i L > 0 0, Rep i L = 0 (26).
The model requires that the following is satisfied: (7) d 1, i l ⇔ s 1, i l ¬ d k, i l ∨ ¬ s k + 1, i l 2 ≤ k ≤ r − 1 d k + 1, i l ⇔ (d k, i l ∨ s k + 1, i l ) 1 ≤ k ≤ r − 1 d r, i l = 1, where 1 ≤ l ≤ p. Figure 3 illustrates how the variables are used for explaining unphased genotypes.
where a i l is the activation vector corresponding to x i l.
Similar(19)
We use entropy = min all codings − ∑ (i / l ) log 2 (i / l ).
with x i = l i r i.
Next, W u i (> L u i ) is explained.
Obviously, for all k < i < l, we have.
Thus I - L is invertible.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com