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Imprecision in martingale-theoretic prequential randomness
(2023) Proceedings of Machine Learning Research. In Proceedings of Machine Learning Research 215. p.390-400 -
- Conference Paper
- P1
- open access
Expected time averages in Markovian imprecise jump processes : a graph-theoretic characterisation of weak ergodicity
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- Journal Article
- A1
- open access
On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness
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- Journal Article
- A1
- open access
Randomness is inherently imprecise
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- Conference Paper
- P1
- open access
Global upper expectations for discrete-time stochastic processes : in practice, they are all the same!
(2021) PROCEEDINGS OF MACHINE LEARNING RESEARCH. In Proceedings of Machine Learning Research 147. p.310-319 -
- Conference Paper
- P1
- open access
Randomness and imprecision : a discussion of recent results
(2021) PROCEEDINGS OF MACHINE LEARNING RESEARCH. In Proceedings of Machine Learning Research 147. p.110-121 -
- Conference Paper
- P1
- open access
A remarkable equivalence between non-stationary precise and stationary imprecise uncertainty models in computable randomness
(2021) PROCEEDINGS OF MACHINE LEARNING RESEARCH. In Proceedings of Machine Learning Research 147. p.244-253 -
- Journal Article
- A1
- open access
A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
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- Conference Paper
- C1
- open access
Computable randomness is about more than probabilities
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- Conference Paper
- P1
- open access
Robust dynamic classifier selection for remote sensing image classification