AAGAN: Accuracy-Aware Generative Adversarial Network for Supervised Tasks.
Ilwi YunHyuk-Jae LeeChae-Eun RheePublished in: IEEE Trans. Circuits Syst. Video Technol. (2022)
Keyphrases
- high accuracy
- network model
- unsupervised learning
- complex networks
- supervised learning
- computational cost
- generative model
- machine learning
- network traffic
- computational efficiency
- network structure
- network architecture
- wireless sensor networks
- network design
- highly accurate
- learning algorithm
- computer networks
- prediction accuracy
- high precision
- real time
- sequence labeling
- error rate
- peer to peer
- classification accuracy
- computational complexity
- multi agent
- feature selection
- data sets