Identifying Wrongly Predicted Samples: A Method for Active Learning.
Rahaf AljundiNikolay ChumerinDaniel Olmeda ReinoPublished in: CoRR (2020)
Keyphrases
- active learning
- detection method
- high accuracy
- sample selection
- k means
- data sets
- similarity measure
- learning strategies
- synthetic data
- support vector machine
- classification accuracy
- sample set
- high precision
- segmentation method
- training samples
- theoretical analysis
- probabilistic model
- computational cost
- dynamic programming
- cost function
- preprocessing
- reinforcement learning
- image segmentation
- feature selection