What matters in a transferable neural network model for relation classification in the biomedical domain?
A lack of sufficient labeled data often limits the applicability of advanced machine learning algorithms to real life problems. However, the efficient use of transfer learning (TL) has been shown to be very useful across domains. TL make use of valuable knowledge learned in one task (source task), w...
| Publicado en: | Artificial Intelligence in Medicine Vol. 87; pp. 60 - 67 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
May2018
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| Acceso en línea: | Ver este registro en EBSCOhost |