Your English writing platform
Discover LudwigSuggestions(5)
Exact(11)
2. Explore neural representations of uncertainty that support efficient learning and inference.
In a third facet, I argue for high-level representations of uncertainty, such as probabilistic programs, probabilistic databases, and statistical relational models.
On other occasions, including these representations of uncertainty leads to a large divergence in the forecast for the coming week, indicating the atmosphere is in a very unpredictable state.
Indeed, the uncertainty quantification approaches presented can lead to different representations of uncertainty in the outputs and hence to different decisions.
This paper presents a probability box methodology that enables various representations of uncertainty to be simultaneously propagated through a model while separation of aleatory and epistemic uncertainties is preserved in the model output.
In recent times a number of other related representations of uncertainty have emerged.
Similar(49)
Advances in prospect theory: Cumulative representation of uncertainty.
The convex models provide a completely non-probabilistic representation of uncertainty.
The scheme relies on spectral representation of uncertainty using the polynomial chaos (PC) system.
These uncertainty characterizations are then propagated through the model to obtain the corresponding representation of uncertainty for the model outputs.
The choice of structure learning algorithm is intimately tied to the type of neural inference algorithm, which is in turn tightly coupled with the underlying representation of uncertainty.
More suggestions(3)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com