Sample Noise Impact on Active Learning.
Alexandre AbrahamLéo Dreyfus-SchmidtPublished in: IAL@PKDD/ECML (2021)
Keyphrases
- active learning
- sample selection
- data sets
- learning strategies
- random noise
- noisy data
- relevance feedback
- signal to noise ratio
- image noise
- median filter
- missing data
- random sampling
- machine learning
- sample points
- noise reduction
- sample size
- training examples
- learning algorithm
- noisy images
- transfer learning
- noise level
- experimental design
- supervised learning
- small sample
- multi class
- training set
- low signal to noise ratio
- label noise