Learning from Multi-annotator Data: A Noise-aware Classification Framework.
Xueying ZhanYaowei WangYanghui RaoQing LiPublished in: ACM Trans. Inf. Syst. (2019)
Keyphrases
- data sets
- noisy data
- bayesian methods
- data collection
- image data
- prior knowledge
- pattern recognition
- input data
- supervised learning
- data analysis
- knowledge discovery
- unsupervised learning
- learning algorithm
- learning tasks
- database
- reinforcement learning
- training data
- learning scheme
- background knowledge
- high dimensional data
- machine learning
- feature selection
- classification accuracy
- data structure
- learning models
- multi task
- labeled and unlabeled data
- data mining
- support vector
- training samples
- online learning
- e learning
- data mining techniques
- probabilistic model
- learning process