Synthetic Sample Selection via Reinforcement Learning.
Jiarong YeYuan XueL. Rodney LongSameer K. AntaniZhiyun XueKeith C. ChengXiaolei HuangPublished in: MICCAI (1) (2020)
Keyphrases
- sample selection
- reinforcement learning
- active learning
- training data
- function approximation
- selection strategy
- support vector machine
- learning algorithm
- supervised learning
- state space
- machine learning
- data sets
- markov decision processes
- neural network
- real world
- model free
- similarity measure
- evolutionary algorithm
- learning process
- semi supervised
- training examples
- kernel function
- optimal policy
- image processing
- multi agent