OR Definition & Meaning - Merriam-Webster
The meaning of OR is —used as a function word to indicate an alternative, the equivalent or substitutive character of two words or phrases, or approximation or uncertainty. How to use or in a sentence.
The Future of Jobs Report 2025 | World Economic Forum
Jan 7, 2025 · Technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition – individually and in combination are among the major drivers …
Studio Ghibli marks 40 years, but future looks uncertain
Points: 122 | Comments: 101 | Author: gslin
Mikoto10032/AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning (⭐ 647)
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Confl…
This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated to the VIEWS units of analysis. It presents the format of the contrib...
The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes
Coronal holes are the observational manifestation of the solar magnetic field open to the heliosphere and are of pivotal importance for our understanding of the origin and acceleration of the solar wind. Observations from space missions such as the S...
High-precision mass measurement of doubly magic $^{208}$Pb
The absolute atomic mass of $^{208}$Pb has been determined with a fractional uncertainty of $7\times 10^{-11}$ by measuring the cyclotron-frequency ratio $R$ of $^{208}$Pb$^{41+}$ to $^{132}$Xe$^{26+}$ with the high-precision Penning-trap mass spectr...
Evidential uncertainty sampling for active learning
Recent studies in active learning, particularly in uncertainty sampling, have focused on the decomposition of model uncertainty into reducible and irreducible uncertainties. In this paper, the aim is to simplify the computational process while elimin...
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction
Estimating uncertainty of camera parameters computed in Structure from Motion (SfM) is an important tool for evaluating the quality of the reconstruction and guiding the reconstruction process. Yet, the quality of the estimated parameters of large re...
Matching the Nagy-Soper parton shower at next-to-leading order
We present an MC@NLO-like matching of next-to-leading order QCD calculations with the Nagy-Soper parton shower. An implementation of the algorithm within the HELAC-DIPOLES Monte Carlo generator is used to address the uncertainties and ambiguities of...
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
When used by autonomous vehicles for trajectory planning or obstacle avoidance, depth estimation methods need to be reliable. Therefore, estimating the quality of the depth outputs is critical. In this paper, we show how M4Depth, a state-of-the-art d...
The impact of the transport of chemicals and electronic screening on helioseismic and neut…
The transport of chemical elements in stellar interiors is one of the greatest sources of uncertainties of solar and stellar modelling. The Sun, with its exquisite spectroscopic, helioseismic and neutrino observations, offers a prime environment to t...
Leveraging contact network structure in the design of cluster randomized trials
Background: In settings where proof-of-principle trials have succeeded but the effectiveness of different forms of implementation remains uncertain, trials that not only generate information about intervention effects but also provide public health b...
Thrive in 2025 Virtual Live Event by Tony Robbins & Dean Graziosi – Breaking Boundarie…
https://preview.redd.it/zgexqhzjtcwe1.png?width=1536&format=png&auto=webp&s=0dc98ccdb38850fec2d3b9ff84dc187ef3e02ae5 What happens when global uncertainty meets unprecedented opportunity? ...
Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Sca…
Fuzzy systems are a way to allow machines, systems and frameworks to deal with uncertainty, which is not possible in binary systems that most computers use. These systems have already been deployed for certain use cases, and fuzzy systems could be fu...
Penelope (given name) - Wikipedia
Penelope, often used in reference to Homer's character, is a female first name of Greek origin. Its meaning is uncertain, but may derive from the Greek
Convex Chance-Constrained Programs with Wasserstein Ambiguity
Chance constraints yield non-convex feasible regions in general. In particular, when the uncertain parameters are modeled by a Wasserstein ball, arXiv:1806.07418 and arXiv:1809.00210 showed that the distributionally robust (pessimistic) chance constr...
Numerical Representations of Acceptance
Accepting a proposition means that our confidence in this proposition is strictly greater than the confidence in its negation. This paper investigates the subclass of uncertainty measures, expressing confidence, that capture the idea of acceptance,...
When Sellers Are Uncertain about Quality
Second-hand markets have expanded rapidly with the growth of online consumer-to-consumer (C2C) platforms. A key feature of C2C markets is that sellers are typically non-professionals and often face uncertainty about the quality of the goods they sell...
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty
Log-Structured Merge trees (LSM trees) are increasingly used as the storage engines behind several data systems, frequently deployed in the cloud. Similar to other database architectures, LSM trees take into account information about the expected wor...