Results 81 to 90 of about 204,354 (270)

Take-and-Guess Games [PDF]

This paper studies two classes of two-person zero-sum games in which the strategies of both players are of a special type.Each strategy can be split into two parts, a taking and a guessing part.In these games two types of asymmetry between the players ...
Dreef, M.R.M., Tijs, S.H.
core   +1 more source

Guessing the beliefs

Journal of Mathematical Economics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Variational Methods in Loop Quantum Cosmology

, 2006
An action functional for the loop quantum cosmology difference equation is presented. It is shown that by guessing the general form of the solution and optimizing the action functional with respect to the parameters in the guessed solution one can obtain
A Shojai, Ashtekar A., Bojowald M., Bojowald M., Bojowald M., F Shojai   +5 more
core   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Defensive forecasting for optimal prediction with expert advice [PDF]

, 2007
The method of defensive forecasting is applied to the problem of prediction with expert advice for binary outcomes. It turns out that defensive forecasting is not only competitive with the Aggregating Algorithm but also handles the case of "second ...
Vovk, Vladimir
core   +4 more sources

PassGAN: A Deep Learning Approach for Password Guessing

, 2019
State-of-the-art password guessing tools, such as HashCat and John the Ripper, enable users to check billions of passwords per second against password hashes.
A Ciaramella, B Duc, DE Rumelhart, KP Murphy, KP Murphy, M Dürmuth, M Frank, R Morris, Y LeCun, Z Sitová   +9 more
core   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Effect of vocabulary learning strategies on students’ vocabulary knowledge achievement and motivation: the case of grade 11 high school students

Frontiers in Education
IntroductionVocabulary knowledge achievement is crucial for effective language learning. However, there is a gap in vocabulary knowledge achievement, particularly at the Seto High School in Ethiopia.
Haimanot Ayana, Temesgen Mereba, Adege Alemu   +2 more
doaj   +1 more source

Guessing and gambling [PDF]

Scoring methods in multiple-choice tests are usually designed as fair bets, and thus random guesswork yields zero expected return. This causes the undesired result of forcing risk averse test-takers to pay a premium in the sense of letting unmarked ...
Albert Burgos
core