Calibration of uncertainty in the active learning of machine learning force fields.
Adam Thomas-MitchellGlenn I. HawePaul L. A. PopelierPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- active learning
- machine learning
- learning algorithm
- supervised learning
- computer vision
- transfer learning
- semi supervised
- pattern recognition
- learning strategies
- random sampling
- unlabeled data
- camera calibration
- machine learning methods
- data mining
- sample selection
- handling uncertainty
- training examples
- knowledge acquisition
- model selection
- selective sampling
- learning tasks
- training set
- pool based active learning
- feature selection
- reinforcement learning
- learning process
- learning systems
- knowledge discovery
- experimental design
- vision system
- interdisciplinary field
- crowd sourced
- multi view
- labeled data
- computational intelligence
- batch mode
- stereo camera
- explanation based learning
- machine learning approaches
- camera parameters
- data analysis
- uncertain data
- information extraction
- statistical methods
- machine learning algorithms
- control system