Random walk kernels and learning curves for Gaussian process regression on random graphs.
Matthew UrryPeter SollichPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- random walk
- learning curves
- gaussian process regression
- gaussian processes
- random graphs
- gaussian process
- graph theoretic
- phase transition
- markov chain
- learning curve
- directed graph
- link prediction
- kernel function
- multi task
- kernel methods
- feature space
- undirected graph
- complex networks
- small world
- random sampling
- power law
- regression model