Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models.
Valerio FreschiEmanuele LattanziPublished in: Neural Comput. Appl. (2022)
Keyphrases
- learning models
- computationally efficient
- loss function
- machine learning
- learning algorithm
- learning tasks
- learning problems
- semi supervised learning
- learning paradigms
- machine learning algorithms
- regression model
- genetic algorithm
- model selection
- feature vectors
- classification models
- reinforcement learning
- decision trees
- sparse metric learning