Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference.
Stavroula TassiKonstantinos D. PolyzosDimitrios I. FotiadisAntonis I. SakellariosPublished in: BIBM (2023)
Keyphrases
- gaussian process
- active learning
- covariance function
- gaussian processes
- semi supervised
- expectation propagation
- gaussian process regression
- cardiovascular disease
- regression model
- machine learning
- hyperparameters
- bayesian inference
- approximate inference
- bayesian framework
- random sampling
- latent variables
- nearest neighbor
- image processing
- learning algorithm
- data sets