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. 2015 Jul 31;9(6):627–638. doi: 10.1007/s11571-015-9350-4

Table 3.

Bootstrap committee network construction (adopted and modified from Chetchotsak and Twomey 2007)

(i) Let T+AB, where A belongs to class I and B to class II
(ii) Let F^ be the empirical probability distribution where A and B each with u observations are drawn
(iii) Let a1,a2,,au be a collection of A and b1,b2,,bu be a collection of B, where ai=(xi,yi=0) and bi=(xi,yi=1), i=1,2,,u
(iv) Specify the number of bootstrap samples, r to produce Aj and Bj, j=1,2,,r
(v) For each of Aj and Bj, ai is randomly chosen from A and bi from B for i=1,2,,u with replacement and equal probability mass 1u
(vi) Repeat step (v) r times to construct Aj and Bj, j=1,2,,r
(vii) Tj AjBj, j=1,2,,r
(viii) Train each of the committee members using Tj, where j=1,2,,r
(ix) Form a committee network using majority voting scheme
(x) END