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This means that for every bin size and temporal window choice, the MI function yields values which range from 0.583 (bin = 0.5 ms, window = 6 bin) to 0.673 (bin = 0.1 ms, window = 1 bin).
Bin size = 0.3 and window = 1 bin turned out to be optimal in terms of ROC performance (cf., "Bin choice for the parametric methods" into the Results section).
Returns the lower edge of the last + 1 bin.
Make a histogram with 50 bins of size 2, starting at 1. BIN will have the values 1,3,5... in succeeding rows, denoting ranges 1 to 2 (first row), 3 to 4 (second row), 5 to 6 (third row).
Equipment required 1 pack of playing cards 1 bin (with its lid removed, if it has one) or similar receptacle: a washing basket, for example Number of players A minimum of two; a maximum of 13.
Step Size (ps) is the waveform scan resolution (step size between points), in picoseconds (1 bin = 3.18 pS).
Similar(35)
We further decimated the dataset, by keeping a maximum of one measurement in each 1° × 1° bin for each month.
end{aligned} (5) Next, we consider complex projective synchronization between (1) and (3) via pinning control under the assumption (Ain A_{1}), (Bin A_{1}) and (Gamma>0).
Let (H_{1}) and (H_{2}) be real Hilbert spaces, C be a nonempty closed convex subset of (H_{1}), (bin H_{2}), and (A:H_{1}rightarrow H_{2}) be a linear and bounded operator with adjoint operator (A^).
(viii) Let (G) be the group of all affine maps of ({mathbb {C}}^N) of the form begin{aligned} begin{array}{lll} z' & mapsto & lambda Uz'+a, z_N & mapsto & lambda ^2z_N+2lambda langle Uz',arangle +|a|^2+ib, end{array} end{aligned}where (Uin mathrm{U}_{N-1}), (ain {mathbb {C}}^{N-1}), (bin {mathbb {R}}), (lambda >0).
(iiia) (X={mathbb {C}}^N) and (G) consists of all maps of the form begin{aligned} begin{array}{lll} z'&mapsto & e^{{mathrm{Re}},b}Uz'+a, z_N&mapsto & z_N+b, end{array} end{aligned}where (Uin mathrm{U}_{N-1},, ain {mathbb {C}}^{N-1}), (bin {mathbb {C}}).
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