On using crowdsourcing and active learning to improve classification performance.
Joana CóstaCatarina SilvaMário AntunesBernardete RibeiroPublished in: ISDA (2011)
Keyphrases
- active learning
- pattern recognition
- machine learning
- selective sampling
- supervised learning
- classification accuracy
- training set
- decision trees
- crowd sourced
- text classification
- unsupervised learning
- classification algorithm
- feature vectors
- support vector
- batch mode active learning
- classification systems
- pattern classification
- classification method
- annotation effort
- support vector machine svm
- class imbalance
- automatic classification
- training samples
- feature extraction
- decision rules
- svm classifier
- learning strategies
- benchmark datasets
- neural network
- classification process
- support vector machine
- pairwise
- preprocessing
- imbalanced data classification