uncertain - Wiktionary, the free dictionary
Jan 20, 2026 · Not known for certain; questionable. Tomorrow's weather is uncertain. Not yet determined; undecided. Variable and subject to change.
Uncertain plural - Wikipedia
An uncertain plural occurs when a writer does not know in advance whether a word should be written in the singular or plural. For English nouns, this
uncertain adjective - Definition, pictures, pronunciation and usage ...
Definition of uncertain adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
UNCERTAIN definition and meaning | Collins English Dictionary
If you are uncertain about something, you do not know what you should do, what is going to happen, or what the truth is about something.
Investigation on uncertain RRab variable stars from ASAS-SN catalogue
An analysis of a group of seven variables stars, classed by ASAS-SN as uncertain RRab, is performed comparing their position in a H-R diagram with respect to a sample of variables of the same type built from public astronomical databases....
UNCERTAIN | English meaning - Cambridge Dictionary
UNCERTAIN definition: 1. not knowing what to do or believe, or not able to decide about something: 2. not known or…. Learn more.
A Particular Upper Expectation as Global Belief Model for Discrete-Time Finite-State Uncer…
To model discrete-time finite-state uncertain processes, we argue for the use of a global belief model in the form of an upper expectation that is the most conservative one under a set of basic axioms. Our motivation for these axioms, which describe...
Mozilla’s Uncertain Future
Points: 404 | Comments: 394 | Author: jonathankoren
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks. (⭐ 1568)
Policy-Space Search: Equivalences, Improvements, and Compression
Fully-observable non-deterministic (FOND) planning is at the core of artificial intelligence planning with uncertainty. It models uncertainty through actions with non-deterministic effects. A* with Non-Determinism (AND*) (Messa and Pereira, 2023) is...
The transmission of uncertainty shocks on income inequality: State-level evidence from the…
In this paper, we explore the relationship between state-level household income inequality and macroeconomic uncertainty in the United States. Using a novel large-scale macroeconometric model, we shed light on regional disparities of inequality respo...
Assessing the performance of deep learning-based models for prostate cancer segmentation u…
This study focuses on comparing deep learning methods for the segmentation and quantification of uncertainty in prostate segmentation from MRI images. The aim is to improve the workflow of prostate cancer detection and diagnosis. Seven different U-Ne...
Design and Implementation of Schedule-Based Trading Strategies Based on Uncertainty Bands
We propose a design for schedule-based execution trading strategies based on uncertainty bands. This formulation: 1) simplifies strategy specification and implementation; 2) provides for flexible allocation among passive, opportunistic, aggressive, a...
Predictive data assimilation through Reduced Order Modeling for epidemics with data uncert…
In this article, we develop a data assimilation procedure to predict the evolution of epidemics with data uncertainty, with application to the Covid-19 pandemic. We construct a vademecum of solutions by solving the SIR epidemic model for a set of dat...
Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees
Tree-based ensemble methods, as Random Forests and Gradient Boosted Trees, have been successfully used for regression in many applications and research studies. Furthermore, these methods have been extended in order to deal with uncertainty in the ou...
Uncertainty and absence of arbitrage opportunity
It is shown that absence of arbitrage opportunity in financial markets is a particular case of existence of uncertainty in decision system. Absence of arbitrage opportunity is considered in the sense of the Arrow-Debreu model of financial market with...
Low-Dimensional Spatial Embedding Method for Shape Uncertainty Quantification in Acoustic…
This paper introduces a novel boundary integral approach of shape uncertainty quantification for the Helmholtz scattering problem in the framework of the so-called parametric method. The key idea is to construct an integration grid whose associated w...
Reinforcement Learning for Learning of Dynamical Systems in Uncertain Environment: a Tutor…
In this paper, a review of model-free reinforcement learning for learning of dynamical systems in uncertain environments has discussed. For this purpose, the Markov Decision Process (MDP) will be reviewed. Furthermore, some learning algorithms such a...
Agreed and Disagreed Uncertainty
When agents' information is imperfect and dispersed, existing measures of macroeconomic uncertainty based on the forecast error variance have two distinct drivers: the variance of the economic shock and the variance of the information dispersion. The...
$K$-corrections: an Examination of their Contribution to the Uncertainty of Luminosity Mea…
In this paper we provide formulae that can be used to determine the uncertainty contributed to a measurement by a $K$-correction and, thus, valuable information about which flux measurement will provide the most accurate $K$-corrected luminosity. All...