Discovery the inverse variational problems from noisy data by physics-constrained machine learning.
Hongbo QuHongchen LiuShuang JiangJiabin WangYonghong HouPublished in: Appl. Intell. (2023)
Keyphrases
- noisy data
- machine learning
- data mining
- pattern recognition
- optimization problems
- high dimensionality
- artificial intelligence
- computer vision
- image segmentation
- data sets
- knowledge discovery
- computer science
- learning from noisy data
- class noise
- noise tolerant
- intrinsic dimensionality
- machine learning algorithms
- denoising
- decision trees
- learning algorithm
- neural network