15 Other Ways to Say I Don’t Know - LanguageTool
Jun 12, 2025 · I don’t know is a phrase often used when you are asked a question and do not have an answer or are uncertain about something. There are many synonyms you can use in its place.
Other Ways to Say “I Don’t Know” in English - My Lingua Academy
Native speakers have many ways to express uncertainty—some formal, some informal, and some even humorous. Let’s look at alternative phrases for “I don’t know”, when to use them, and how to sound …
70+ Different Ways to Say I DON’T KNOW in English - 7ESL
Nov 8, 2018 · Discover formal, informal, idiomatic, and even funny ways to say "I don’t know." Learn responses that comfort or motivate others when they express uncertainty.
Explicit Uncertainty Modeling for Video Watch Time Prediction
In video recommendation, a critical component that determines the system's recommendation accuracy is the watch-time prediction module, since how long a user watches a video directly reflects personalized preferences. One of the key challenges of thi...
Preliminary Investigations on Uncertainty Analysis of Wind-Wave Predictions in Lake Michig…
With all the improvement in wave and hydrodynamics numerical models, the question rises in our mind that how the accuracy of the forcing functions and their input can affect the results. In this paper, a commonly used numerical third generation wave...
UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odome…
Monocular depth estimation has been increasingly adopted in robotics and autonomous driving for its ability to infer scene geometry from a single camera. In self-supervised monocular depth estimation frameworks, the network jointly generates and expl...
The Future of Jobs Report 2025 | World Economic Forum
Jan 7, 2025 · Technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition â individually and in combination are among the major drivers â¦
StarFlow: Leveraging Normalizing Flows for Stellar Age Estimation in SDSS-V DR19
Understanding the ages of stars is crucial for unraveling the formation history and evolution of our Galaxy. Traditional methods for estimating stellar ages from spectroscopic data often struggle with providing appropriate uncertainty estimations and...
The generalized Phillips' spectra and new dissipation function for wind-driven seas
A generalization of the kinetic equation is proposed for explaining observed shapes of wind wave spectra. The approach allows to fix a critical uncertainty in modeling wind wave spectra using a condition of equilibrium of nonlinear transfer and wave...
5-Star Recruit Jalen Brewster's Oregon Timeline Amid Texas Tech Uncertainty
...
Eagles guard Landon Dickerson confirms he will return in 2026
25 minutes ago · Philadelphia Eagles guard Landon Dickerson confirms 2026 NFL return, strengthening the offensive line and eliminating offseason uncertainty.
On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven b…
Statistical methods are required to evaluate and quantify the uncertainty in environmental processes, such as land and sea surface temperature, in a changing climate. Typically, annual harmonics are used to characterize the variation in the seasonal...
Automated spectroscopic abundances of A and F-type stars using echelle spectrographs II. A…
Using the method presented in Erspamer & North (2002, Paper I hereafter), detailed abundances of 140 stars are presented. The uncertainties characteristic of this method are presented and discussed. In particular, we show that for a S/N ratio highe...
Quantifying uncertainties due to optical potentials in one-neutron knockout reactions
One-neutron knockout reactions have been widely used to extract information about the single-particle structure of nuclei from the valley of stability to the driplines. The interpretation of knockout data relies on reaction models, where the uncertai...
V(RI)sub(c) Photometry of Cepheids in the Magellanic Clouds
We present V(RI)sub data for thirteen Cepheids in the Large Magellanic Cloud ans fifty-five in each wavelength band. The median uncertainty in the photometry iy Moffett, Gieren & Barnes (1998) which contained 1000 measures ($\pm 0.01$ mag) in each...
Finding Friend and Foe in Multi-Agent Games
Recent breakthroughs in AI for multi-agent games like Go, Poker, and Dota, have seen great strides in recent years. Yet none of these games address the real-life challenge of cooperation in the presence of unknown and uncertain teammates. This challe...
Neglecting Uncertainties Biases House-Elevation Decisions to Manage Riverine Flood Risks
Homeowners around the world elevate houses to manage flood risks. Deciding how high to elevate a house poses a nontrivial decision problem. The U.S. Federal Emergency Management Agency (FEMA) recommends elevating existing houses to the Base Flood Ele...
Bibliometric indices as a measure of performance and competitive balance in the knockout s…
We argue for the application of bibliometric indices to quantify the long-term uncertainty of outcome in sports. The Euclidean index is proposed to reward quality over quantity, while the rectangle index can be an appropriate measure of core performa...
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Convolutional neural networks have shown to achieve superior performance on image segmentation tasks. However, convolutional neural networks, operating as black-box systems, generally do not provide a reliable measure about the confidence of their de...
Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization
Optimizing the reliability and the robustness of a design is important but often unaffordable due to high sample requirements. Surrogate models based on statistical and machine learning methods are used to increase the sample efficiency. However, for...