A kriging-based active learning algorithm for contour estimation of integrated response with noise factors.
Mei HanQianqian HuangLinhan OuyangXufeng ZhaoPublished in: Eng. Comput. (2023)
Keyphrases
- learning algorithm
- estimation error
- noise level
- black box
- machine learning algorithms
- signal subspace
- factors that influence
- image structure
- noise reduction
- noise model
- factors affecting
- neural network
- signal to noise ratio
- active learning
- reinforcement learning
- training data
- parameter estimation
- learning scheme
- machine learning
- learning tasks
- back propagation
- training examples
- training samples
- estimation algorithm
- robust estimation
- sample complexity
- arbitrary shape
- image segmentation
- contour detection