Random walk kernels and learning curves for Gaussian process regression on random graphs
Matthew UrryPeter SollichPublished in: CoRR (2012)
Keyphrases
- random walk
- learning curves
- gaussian process regression
- gaussian processes
- random graphs
- gaussian process
- graph theoretic
- directed graph
- markov chain
- undirected graph
- phase transition
- small world
- link prediction
- kernel methods
- kernel function
- learning curve
- multi task
- feature space
- machine learning
- model selection
- special case
- reinforcement learning
- image segmentation
- feature selection