Learning, inference, and prediction on probability density functions with constrained Gaussian processes.
Tien-Tam TranAnis FradiChafik SamirPublished in: Inf. Sci. (2023)
Keyphrases
- gaussian processes
- probability density function
- preference learning
- multi task learning
- learning algorithm
- multi task
- supervised learning
- gaussian process models
- active learning
- prior knowledge
- density estimation
- gaussian process
- bayesian methods
- reinforcement learning
- statistical methods
- learning tasks
- learning process
- feature vectors
- gaussian process regression
- computer vision
- machine learning