Data-driven prediction of EVAR with confidence in time-varying datasets
The key challenge for learning-based autonomous systems operating in time-varying environments is to predict when the learned model may lose relevance. If the learned model loses relevance, then the autonomous system is at risk of making wrong decisions. The entropic value at risk (EVAR) is a comput...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Online Access: | http://hdl.handle.net/1721.1/114854 https://orcid.org/0000-0003-1884-5397 https://orcid.org/0000-0002-2225-7275 |