Learning Deep Attention Network from Incremental and Decremental Features for Evolving Features
In many real-world machine learning problems, the features are changing along the time, with some old features vanishing and some other new features augmented, while the remaining features survived. In this paper, we propose the cross-feature attention network to handle the incremental and decrement...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
|
| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2021/1492828 |