Non-Parametric Calibration for Classification
Many applications for classification methods not only require high accuracy but also reliable estimation of predictive uncertainty. This is of particular importance in fields such as computer vision or robotics, where safety-critical decisions are made based on classification outcomes. However, whil...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262652 |
