16. The computing system of claim 13 , wherein configuring the first SVM classifier comprises: determining a pair of support vectors from the second plurality of support vectors, wherein the pair comprises the first combined support vector and second combined support vector and wherein the first plurality of support vectors is a subset of the second plurality of support vectors; merging the first combined support vector and the second combined support vector into a third combined support vector; and including the third combined support vector in the first plurality of support vectors.
16. The computing system of claim 13 , wherein configuring the first SVM classifier comprises: determining a pair of support vectors from the second plurality of support vectors, wherein the pair comprises the first combined support vector and second combined support vector and wherein the first plurality of support vectors is a subset of the second plurality of support vectors; merging the first combined support vector and the second combined support vector into a third combined support vector; and including the third combined support vector in the first plurality of support vectors. 19. The computing system of claim 16 , wherein determining the pair of support vectors further comprises: determining a third weight for the third combined support vector using the first weight and the second weight; determining a target number of support vectors; determining a number of merged support vectors that matches the target number; after determining the number of merged support vectors that matches the target number, determining a revised weight for the third combined support vector; determining a weighted third combined support vector using the third combined support vector and the revised weight; and including the weighted third support vector into the first plurality of support vectors.