Nalaganje...
Multisource Deep Transfer Learning Based on Balanced Distribution Adaptation
The current traditional unsupervised transfer learning assumes that the sample is collected from a single domain. From the aspect of practical application, the sample from a single-source domain is often not enough. In most cases, we usually collect labeled data from multiple domains. In recent year...
Shranjeno v:
| Main Authors: | , , , |
|---|---|
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Hindawi Limited
2022-01-01
|
| Serija: | Computational Intelligence and Neuroscience |
| Online dostop: | http://dx.doi.org/10.1155/2022/6915216 |
| Oznake: |
Označite
Brez oznak, prvi označite!
|