Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.
Jirí RuzickaJan KozaJirí TumpachZbynek PitraMartin HolenaPublished in: IAL@PKDD/ECML (2021)
Keyphrases
- gaussian processes
- active learning
- gaussian process
- gaussian process regression
- preference learning
- multi task learning
- covariance function
- multi task
- random sampling
- gaussian process models
- semi supervised
- human pose estimation
- hyperparameters
- regression model
- parameter settings
- data sets
- bayesian framework
- learning experience
- unlabeled data
- semi supervised learning
- higher order
- recommender systems
- training set
- genetic algorithm