: Achieving Fair Data Generation and Classification through Generative Adversarial Nets.
Depeng XuShuhan YuanLu ZhangXintao WuPublished in: IEEE BigData (2019)
Keyphrases
- data generation
- decision trees
- feature extraction
- machine learning
- discriminative learning
- text classification
- classification accuracy
- pattern recognition
- data structure
- prior knowledge
- real time
- supervised learning
- low cost
- classification algorithm
- unsupervised learning
- data sets
- support vector
- feature selection
- monitoring system
- training samples
- generative model
- model selection
- similarity measure
- support vector machine
- feature vectors
- data streams