Data Quality-based Gradient Optimization for Recurrent Neural Networks.
Feihu HuangPeiyu YiShan LiHaiwen XuPublished in: WWW (Companion Volume) (2024)
Keyphrases
- data quality
- recurrent neural networks
- neural network
- quality management
- feed forward
- recurrent networks
- echo state networks
- data cleansing
- feedforward neural networks
- data warehouse
- data cleaning
- reservoir computing
- data transformation
- poor quality
- artificial neural networks
- information loss
- quality assessment
- data privacy
- database
- privacy guarantees
- data analysis
- class noise
- database systems
- nonlinear dynamic systems
- cascade correlation
- privacy preservation
- back propagation
- databases