Table 1 Special cases of the GS kernel
From: Learning a peptide-protein binding affinity predictor with kernel ridge regression
Fixed parameters | Freeparameters | Kernel name |
|---|---|---|
L = 1, σ p → 0, σ c → 0 | Hamming distance | |
L → ∞, σ p → 0, σ c → 0 | Dirac delta | |
σ p → ∞, σ c → 0 | L | Blended Spectrum [14] |
σ p → ∞ | L, σ c | Blended Spectrum RBF [23] |
σ c → 0 | L, σ p | Oligo [15] |
L → ∞, σ p → 0 | σ c | Radial Basis Function (RBF) |
σ p → 0, σ c → 0 | L | Weighted degree (⋆) [16] |
σ p → 0 | L, σ c | Weighted degree RBF (⋆) [23] |
L, σ p , σ c | Generic String (GS) |