Determining the measurement uncertainty region is a difficult problem for generic sets of observables. For this reason the literature on exact measurement uncertainty regions is focused on symmetric sets of observables, where the symmetries are used...
This book chapter introduces the principles and practical applications of uncertainty quantification in machine learning. It explains how to identify and distinguish between different types of uncertainty and presents methods for quantifying uncertai...
Uncertainty can be classified as either aleatoric (intrinsic randomness) or epistemic (imperfect knowledge of parameters). The majority of frameworks assessing infectious disease risk consider only epistemic uncertainty. We only ever observe a single...
This paper investigates measurement uncertainty in a Reverberation Chamber (RC) within the lower FR2 bands (24.25-29.5 GHz). The study focuses on the impact of several factors contributing to RC measurement uncertainty, including finite sample size,...
Recently, Maccone and Pati [Phys. Rev. Lett. {\bf 113}, 260401 (2014)] derived few inequalities among variances of incompatible operators which they called stronger uncertainty relations, stronger than Heisenberg-Robertson or Schrodinger uncertainty...
This paper addresses the limitations of standard uncertainty models, e.g., robust (norm-bounded) and stochastic (one fixed distribution, e.g., Gaussian), and proposes to model uncertainty via Optimal Transport (OT) ambiguity sets. These constitute a...
Understanding and evaluating uncertainty play a key role in decision-making. When a viewer studies a visualization that demands inference, it is necessary that uncertainty is portrayed in it. This paper showcases the importance of representing uncert...
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty" (⭐ 513)
Uncertain Terms is the third studio album by guitarist Greg Howe, released on November 8, 1994 through Shrapnel Records. Andy Hinds at AllMusic gave Uncertain
UNCERTAIN definition: not definitely ascertainable or fixed, as in time of occurrence, number, dimensions, or quality. See examples of uncertain used in a sentence.
Many data management applications must deal with data which is uncertain, incomplete, or noisy. However, on existing uncertain data representations, we cannot tractably perform the important query evaluation tasks of determining query possibility, ce...
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models. (⭐ 786)
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models. (⭐ 639)
That which is uncertain is doubtful or problematical; it often involves danger through an inability to predict or to place confidence in the unknown: The time of his arrival is uncertain.
Uncertain is a city in Harrison County, Texas, United States. According to the 2010 census, the city population was 94, down from 150 at the 2000 census
An uncertain database is a kind of database studied in database theory. The goal of uncertain databases is to manage information on which there is some
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives. (⭐ 657)
"[Everyone Can Play](https://botc-scripts.azurewebsites.net/script/1945/1.0.2)" and "[Uncertain Death](https://bloodontheclocktower.com/custom-scripts/uncertain-death)" are custom scripts which remix ...
The meaning of UNCERTAIN is not known beyond doubt : dubious. How to use uncertain in a sentence.
We present an automatic large language model (LLM) conversion approach that produces uncertainty-aware LLMs capable of estimating uncertainty with every prediction. Our approach is model- and data-agnostic, is computationally-efficient, and does not...