Active learning to minimize the possible risk of future epidemics / KC Santosh, Suprim Nakarmi.
Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future...
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Online Access: |
Full Text (via Springer) |
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Main Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer,
[2023]
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Series: | SpringerBriefs in applied sciences and technology.
SpringerBriefs in applied sciences and technology. Computational intelligence. |
Subjects: |
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