Active Learning with Weak Supervision for Gaussian Processes.
Amanda OlminJakob LindqvistLennart SvenssonFredrik LindstenPublished in: ICONIP (5) (2022)
Keyphrases
- gaussian processes
- active learning
- gaussian process
- random sampling
- hyperparameters
- gaussian process regression
- ordinal regression
- semi supervised
- human pose estimation
- preference learning
- machine learning
- covariance function
- multi task learning
- supervised learning
- learning algorithm
- labeled data
- gaussian process models
- relevance vector machine
- learning process
- multi task
- bayesian framework
- noise level
- image reconstruction
- learning experience
- machine learning algorithms
- error rate
- non stationary
- unlabeled data
- semi supervised learning
- model selection
- decision trees