Results 101 to 110 of about 67,327,806 (206)

Hardness of Learning with Physical Rounding and Noise from Learning With Errors

Transactions on Cryptographic Hardware and Embedded Systems
The Learning With Physical Rounding (LWPR) problem is a variant of the Learning With Rounding (LWR) problem, where the rounding operation is performed by a physical leakage function (like the Hamming weight function or variants thereof).
Clément Hoffmann, Emeline Repel, Adeline Roux-Langlois, François-Xavier Standaert   +3 more
doaj   +1 more source

Effect Modification of Cigarette Smoking on the Relationship between Post‐traumatic Stress Disorder, Other Mental Health Conditions and Rheumatoid Arthritis Risk: A Large Case‐Control Study in U.S. Veterans

Arthritis Care &Research, Accepted Article.
Objective We examined associations of post‐traumatic stress disorder (PTSD) and other mental health disorders (OMH) with rheumatoid arthritis (RA), accounting for effects of smoking. Methods We conducted a matched case‐control study, identifying incident RA cases and controls using national Veteran Health Administration data (2006‐2019).
Kelsey Coziahr, Harlan Sayles, Tate M. Johnson, Joshua F. Baker, Punyasha Roul, Grant W. Cannon, Gary A. Kunkel, Katherine D. Wysham, Gail S. Kerr, Amir A. Razmjou, Isaac Smith, Jennifer L. Barton, Maria I. Danila, Jonathan S. Richards, Bryant R. England, Ted R. Mikuls   +15 more
wiley   +1 more source

Trainers' strategies in dealing with errors in the workplace

, 2011
It is generally assumed that learning from errors in the workplace is of importance for the development of apprentices‘ professional competence. Whether errors in the work process provide the opportunity to learn greatly depends on company trainers ...
Seifried, Jürgen, Baumgartner, Alexander   +1 more
core  

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Trainers' strategies in dealing with errors in the workplace

, 2011
It is generally assumed that learning from errors in the workplace is of importance for the development of apprentices‘ professional competence. Whether errors in the work process provide the opportunity to learn greatly depends on company trainers ...
Seifried, Jürgen, Baumgartner, Alexander   +1 more
core  

An improved BKW algorithm on the learning with rounding problem

Cybersecurity
The Blum-Kalai-Wasserman (BKW) algorithm is a significant combinatorial algorithm used to tackle the Learning with Errors (LWE) and Learning with Rounding (LWR) problems. In 2015, Duc et al. (in: Oswald and Fischlin (eds) EUROCRYPT 2015, Springer, Berlin,
Yu Wei, Lei Bi, Kunpeng Wang, Xianhui Lu
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Automated Detection of Usage Errors in non-native English Writing [PDF]

, 2011
In an investigation of the use of a novelty detection algorithm for identifying inappropriate word combinations in a raw English corpus, we employ an unsupervised detection algorithm based on the one- class support ...
Fujishima, Satoru, Ishizaki, Shun
core  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source