Sample Noise Impact on Active Learning.
Alexandre AbrahamLéo Dreyfus-SchmidtPublished in: CoRR (2021)
Keyphrases
- active learning
- sample selection
- noise level
- random noise
- noise removal
- noisy data
- missing data
- batch mode
- signal to noise ratio
- sample size
- learning strategies
- selective sampling
- supervised learning
- label noise
- representative samples
- noisy environments
- random sampling
- noise free
- sampled data
- imbalanced data classification
- image noise
- gaussian noise
- class imbalance
- learning algorithm
- noise reduction
- training examples
- input data
- relevance feedback
- training data
- image processing