Figure 2
From: Learning a peptide-protein binding affinity predictor with kernel ridge regression
A benchmark experiment comparing the running times of the approximated GS kernel and the GS kernel. This figure shows the speedup of the approximation algorithm over the full computation of the GS kernel as a function of the kernel parameter σ p . The running times were recorded while computing 1,000,000 kernel values for peptides of length 15, 35 and 55. The other kernel parameters are σ c = 0.5 and L = 5.