Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem.
Anass AkrimChristian GoguRob A. VingerhoedsMichel SalaünPublished in: CoRR (2023)
Keyphrases
- learning process
- data sets
- database
- data structure
- data collection
- input data
- prior knowledge
- raw data
- data analysis
- data quality
- end users
- background knowledge
- machine learning
- learning tasks
- original data
- data distribution
- high dimensional data
- computer systems
- learning models
- image data
- high quality
- data mining techniques
- unsupervised learning
- supervised learning
- missing data
- attribute values
- xml documents
- learning environment
- human experts
- training data
- noisy data
- decision trees
- data mining