Data-Efficient Machine Learning with Applications to Cardiology
Deep learning models have demonstrated impressive capabilities in many settings including computer vision, natural language generation, and speech processing. However, an important shortcoming of these models is that they often need to be trained on large datasets in order to be most effective. In d...
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| Natura: | Tesi |
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Massachusetts Institute of Technology
2024
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| Accesso online: | https://hdl.handle.net/1721.1/153841 |