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- 01H5M95ZCPSK1WQS5DJYR7HDBZ classification C3.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ date "2022".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ language "eng".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ type conference.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ hasPart 01H5MA3HHPP40T71W2Z3HH4W93.pdf.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ subject "Technology and Engineering".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ isbn "9789519525419".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ presentedAt urn:uuid:9117d23c-4d89-415d-b0be-8abc9136d80b.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ abstract "Recent successes across a variety of domains have led to the widespread deployment of neural networks in the field of operations research. Neural networks offer strong predictive performance but are notoriously difficult to interpret, leading to black-box models. As a result, they are poorly suited to be an essential component of larger decision support systems, which rely on trustworthy predictions. In this work, methods from the probabilistic deep learning literature are presented that address this issue by quantifying predictive uncertainty. Well-calibrated uncertainty estimates convey information about when a model’s output should (or should not) be trusted, and allow a system to reject decisions due to low confidence. We investigate the added value of the probabilistic methods applied to the task of knowledge tracing, a subfield of educational data mining. We find that they produce well-calibrated uncertainty estimates. Moreover, the methods effectively flag potentially incorrect predictions on shifted data, without compromising on predictive performance.".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ author 4ABC9E86-697D-11E6-9EE4-95CFB4D1D7B1.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ author F88A388C-F0ED-11E1-A9DE-61C894A0A6B4.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ dateCreated "2023-07-18T10:36:50Z".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ dateModified "2024-10-29T17:45:08Z".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ name "Leveraging uncertainty estimation for trustworthy predictions in decision-making".
- 01H5M95ZCPSK1WQS5DJYR7HDBZ pagination urn:uuid:76025602-8431-4439-8e4a-a0c2e2405060.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ sameAs LU-01H5M95ZCPSK1WQS5DJYR7HDBZ.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ sourceOrganization urn:uuid:aeb6d02a-8009-4877-bedc-a891a7ee089d.
- 01H5M95ZCPSK1WQS5DJYR7HDBZ type C3.