Showing 1 - 20 results of 5,432 for search '(structural OR structure) error', query time: 0.19s Refine Results
  1. 1

    Sensitivity of Bayesian Networks to Errors in Their Structure by Agnieszka Onisko, Marek J. Druzdzel

    Published 2024-11-01
    “…Our results confirm the popular belief that the BN structure is important, and we show that structural errors may lead to a serious deterioration in the diagnostic accuracy. …”
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    Article
  2. 2

    Quantum computer error structure probed by quantum error correction syndrome measurements by Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman

    Published 2024-12-01
    “…These results highlight the nontrivial structure that may be present in the noise of quantum error correction circuits, revealed by operator measurement statistics, and support the development of noise-tailored codes and decoders to adapt.…”
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  3. 3

    Knowledge Error Detection via Textual and Structural Joint Learning by Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He

    Published 2025-02-01
    “…Current methods for knowledge graph error detection primarily focus on graph structure and overlook the importance of textual information in error detection. …”
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    STRUCTURE OF MEDICAL ERRORS AND SURVIVAL OF PATIENTS IN THE INTENSIVE CARE DEPARTMENTS by A. V. Dats, S. M. Gorbacheva, L. S. Dats, S. V. Prokopchuk

    Published 2017-11-01
    “…In order to investigate the structure of medical errors in the intensive care the clinical cases of 660 patients in the age from 15 to 99 years old have been studied as well as expert conclusions describing treatment in the intensive care departments. …”
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  5. 5

    Structural basis of error-prone DNA synthesis by DNA polymerase θ by Chuxuan Li, Leora M. Maksoud, Yang Gao

    Published 2025-02-01
    “…Distinct from its high-fidelity homologs in DNA replication, Pol θ catalyzes template-dependent DNA synthesis with an inherent propensity for error incorporation. However, the structural basis of Pol θ’s low-fidelity DNA synthesis is not clear. …”
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    Investigation of Error Sources Measuring Deformations of Engineering Structures by Geodetic Methods by Vladislovas Česlovas Aksamitauskas, Donatas Rekus, Stasys Čirba

    Published 2010-12-01
    “…The main part of the geodetic work in structures is leveling. Using digital leveling instruments for the precise leveling, the methodology of measurements changes due to the occurrence of the specific sources of error that affect the structural engineering measurements and observations of deformations of engineering structures. …”
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    Design of Structure and Control Algorithm for Solar Tracker by Huo Xiangru, Hou Li, Wei Yongqiao, Luo Lan, Zhang Qi

    Published 2017-01-01
    “…Finally,the results of the experiments show that the structure design scheme and the tracking algorithm are of great significance for improving the utilization of solar energy.…”
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    Medical Error Prevalence, Nursing Power, and Structural Empowerment: A Serial Mediation Analysis by Wafa’a Ta’an

    Published 2024-01-01
    “…To investigate how structural empowerment and power may contribute to and predict the reduction of medical errors. …”
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    Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

    Published 2025-07-01
    “…We present a new method for causal discovery in linear structural vector autoregressive models. We adapt an idea designed for independent observations to the case of time series while retaining its favorable properties, i.e., explicit error control for false causal discovery, at least asymptotically. …”
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    THE IMPACT OF COMPENSATION PAYMENTS ON EMPLOYMENT, IN REGIONAL STRUCTURES by Nicoleta JULA, Dorin JULA

    Published 2015-07-01
    “…We tested this hypothesis for the period 1993-2013, in territorial structures (42 counties) through a dynamic panel model (confirmed by Granger causality tests – Toda-Yamamoto version), and by means of error correction model. …”
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    Dealing with AFLP genotyping errors to reveal genetic structure in Plukenetia volubilis (Euphorbiaceae) in the Peruvian Amazon. by Jakub Vašek, Petra Hlásná Čepková, Iva Viehmannová, Martin Ocelák, Danter Cachique Huansi, Pavel Vejl

    Published 2017-01-01
    “…It was found that it is only possible to obtain the most reliable and robust results through a multiple-level filtering process. Genotyping error and software set up influence both the estimation of population structure and genetic diversity, where in our case population number (K) varied between 2-9 depending on the dataset and statistical method used. …”
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