A novel virtual sample generation method to improve the quality of data and the accuracy of data-driven models.
Zhiwen ChenZhigang LvRuohai DiPeng WangXiaoyan LiXiaojing SunYuntao XuPublished in: Neurocomputing (2023)
Keyphrases
- data driven
- high quality
- data sources
- generation method
- data sets
- data quality
- data processing
- training data
- raw data
- data collection
- highly accurate
- original data
- experimental data
- predictive model
- low quality
- data samples
- spatial and temporal resolution
- statistical methods
- statistical models
- data distribution
- accurate models
- synthetic data
- prediction accuracy
- computer systems
- input data
- data mining techniques
- image data
- data points
- high dimensional data
- probabilistic model
- data analysis
- end users
- database
- neural network
- machine learning
- bayesian networks
- artificial neural networks
- historical data
- knowledge discovery
- sensor data
- model selection