Efficient optimization of the likelihood function in Gaussian process modelling.
A. ButlerRonald D. HaynesThomas Donald HumphriesPritam RanjanPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- gaussian process
- likelihood function
- efficient optimization
- gaussian processes
- model selection
- regression model
- bayesian framework
- hyperparameters
- latent variables
- optimization methods
- semi supervised
- support vector
- maximum likelihood
- text classification
- data mining
- denoising
- convex optimization
- high dimensional
- learning algorithm