Voting combining classifier
W = VOTEC(V)
If V = [V1,V2,V3,...] is a stacked set of classifiers trained for the same classes, W is the voting combiner: it selects the class with the highest vote of the base classifiers. This might also be used as A*[V1,V2,V3]*VOTEC in which A is a dataset to be classified.
The direct classifier outputs D = B*W for a test set B are posterior probability estimates. D(i,j) = (v+1) / (n+c), in which v is the number of votes object i receives for the j-th class. n is the total number of classifiers, c the total number of classes.
The base classifiers may be combined in a stacked way (operating in the same feature space) by V = [V1,V2,V3, ... ] or in a parallel way (operating in different feature spaces) by V = [V1;V2;V3; ... ]