Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives.
Yu InatsuDaisuke SugitaKazuaki ToyouraIchiro TakeuchiPublished in: Neural Comput. (2020)
Keyphrases
- gaussian process
- active learning
- semi supervised
- hyperparameters
- gaussian processes
- random sampling
- regression model
- model selection
- gaussian process regression
- approximate inference
- bayesian framework
- latent variables
- machine learning
- gaussian process classification
- higher order
- supervised learning
- covariance function
- sparse approximations
- simulated annealing
- expectation propagation
- marginal likelihood
- gaussian process models
- learning process
- search space
- pairwise
- training set
- learning algorithm
- cross validation