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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...
में बचाया:
| मुख्य लेखकों: | , , , |
|---|---|
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Hindawi Limited
2022-01-01
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| श्रृंखला: | Computational Intelligence and Neuroscience |
| ऑनलाइन पहुंच: | http://dx.doi.org/10.1155/2022/6915216 |
| टैग : |
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