An application of active learning Kriging for the failure probability and sensitivity functions of turbine disk with imprecise probability distributions.
Pan WangZheng ZhangXiaoyu HuangHanyuan ZhouPublished in: Eng. Comput. (2022)
Keyphrases
- probability distribution
- active learning
- random variables
- conditional probabilities
- posterior probability
- black box
- target function
- bayesian networks
- failure rate
- supervised learning
- selective sampling
- learning strategies
- music emotion classification
- learning algorithm
- possibility distributions
- high sensitivity
- random access
- main memory
- training examples
- semi supervised
- experimental design
- power plant
- storage systems
- probability measure
- sample selection
- expected loss
- crowd sourced
- training set