A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification.
Marek HerdeDenis HuseljicBernhard SickAdrian CalmaPublished in: IEEE Access (2021)
Keyphrases
- machine learning algorithms
- active learning
- machine learning approaches
- classification algorithm
- machine learning methods
- learning algorithm
- decision trees
- cost sensitive
- cost sensitive classification
- classification models
- pattern recognition
- model selection
- neural network
- numerical algorithms
- bayesian methods
- machine learning
- feature selection algorithms
- learning models
- benchmark datasets
- user interaction
- text classification
- support vector
- image classification
- worst case
- support vector machine
- mathematical models
- classification accuracy
- feature space
- computational complexity
- training data
- active learning strategies