Bayesian Deep Neural Networks with Agnostophilic Approaches
A vital area of AI is the ability of a model to recognise the limits of its knowledge and flag when presented with something unclassifiable instead of making incorrect predictions. It has often been claimed that probabilistic networks, particularly Bayesian neural networks, are unsuited to this prob...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/9/4/95 |
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