Learning from Multiple Noisy Annotations via Trustable Data Mixture.
Ruohan WangFangping ChenChangyu GuanCong XueXiang JiWang LiPublished in: ICIC (LNAI 2) (2024)
Keyphrases
- data sets
- prior knowledge
- data processing
- database
- learning algorithm
- learning process
- data collection
- data points
- multiple tasks
- noisy data
- learning tasks
- mixture model
- computer systems
- input data
- end users
- data sources
- active learning
- data analysis
- data structure
- bayesian networks
- semi supervised
- image data
- data model
- multiple sources
- learning models
- data mining
- latent variable models
- bayesian methods
- incomplete data
- original data
- raw data
- sensor data
- synthetic data
- unsupervised learning
- online learning
- supervised learning