Learning Curves for Gaussian Process Regression: Approximations and Bounds.
Peter SollichAnason S. HaleesPublished in: Neural Comput. (2002)
Keyphrases
- gaussian process regression
- learning curves
- gaussian processes
- average case
- vc dimension
- gaussian process
- learning curve
- worst case
- upper bound
- lower bound
- uniform distribution
- random graphs
- hyperparameters
- closed form
- sample complexity
- sample size
- learning algorithm
- cross validation
- data sets
- bayesian framework
- latent variables
- np hard
- computational complexity
- support vector
- machine learning