Noise correction to improve data and model quality for crowdsourcing.
Chaoqun LiLiangxiao JiangWenqiang XuPublished in: Eng. Appl. Artif. Intell. (2019)
Keyphrases
- experimental data
- data sets
- computational model
- input data
- missing data
- measured data
- high quality
- statistical model
- data analysis
- simulation data
- database
- data quality
- sensor data
- synthetic data
- data collection
- noisy data
- data points
- probability distribution
- empirical data
- data sources
- knowledge discovery
- raw data
- conceptual model
- test data
- data structure
- mathematical model
- data processing
- learning models
- expert knowledge
- high level
- autoregressive
- signal to noise ratio
- feature selection
- learning algorithm
- original data
- network structure
- training data
- objective function
- artificial neural networks
- end users
- high dimensional data
- computer systems
- markov random field