| CalculateExponentialRandomWalkKernel | R Documentation |
This function calculates a kernel matrix of the exponential random walk kernel K_ER.
CalculateExponentialRandomWalkKernel(G, par)
G |
a list of |
par |
a coefficient beta, with which the weight lambda_k for each step k is given as lambda_k = β^k / k! |
a kernel matrix of the exponential random walk kernel K_ER
Mahito Sugiyama
Gartner, T., Flach, P., Wrobel, S.: On graph kernels: Hardness results and efficient alternatives, Learning Theory and Kernel Machines (LNCS 2777), 129-143 (2003) https://link.springer.com/chapter/10.1007/978-3-540-45167-9_11.
data(mutag) K <- CalculateExponentialRandomWalkKernel(mutag[1:5], .1)