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    Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 001::page 11004
    DOI: 10.1115/1.4031983
    Publisher: The American Society of Mechanical Engineers (ASME)
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      Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4236139
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    date accessioned2017-11-25T07:19:59Z
    date available2017-11-25T07:19:59Z
    date issued2016
    identifier issn2377-2158
    identifier othervvuq_001_01_011004.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236139
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIntegrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem
    typeJournal Paper
    journal volume1
    journal issue1
    journal titleJournal of Verification, Validation and Uncertainty Quantification
    identifier doi10.1115/1.4031983
    journal fristpage11004
    journal lastpage11004
    treeJournal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian