Active Learning in CNNs via Expected Improvement Maximization.
Udai G. NagpalDavid A. KnowlesPublished in: CoRR (2020)
Keyphrases
- active learning
- learning strategies
- objective function
- random sampling
- cellular neural networks
- significant improvement
- relevance feedback
- pool based active learning
- data sets
- crowd sourced
- selective sampling
- training examples
- labeled data
- small number
- training set
- bayesian networks
- learning algorithm
- machine learning
- real world