Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Gaussian Process Regression for Bayesian Fusion of Multi-Fidelity Information Sources


    Beteiligte:

    Kongress:

    2018 Multidisciplinary Analysis and Optimization Conference



    Erscheinungsdatum :

    01.01.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Gaussian Process Regression for Bayesian Fusion of Multi-Fidelity Information Sources (AIAA 2018-4176)

    Ghoreishi, Seyede Fatemeh / Allaire, Douglas L. | British Library Conference Proceedings | 2018


    DIMENSIONALITY REDUCTION FOR MULTI-FIDELITY GAUSSIAN PROCESSES USING BAYESIAN ADAPTATION

    Tsilifis, Panagiotis / Pandita, Piyush / Ghosh, Sayan et al. | TIBKAT | 2021


    MULTI-FIDELITY GAUSSIAN PROCESS MODEL FOR CFD AND WIND TUNNEL DATA FUSION

    Conde-Arenzana, R. / López-Lopera, A. F. / Mouton, S. et al. | TIBKAT | 2021

    Freier Zugriff

    Dimensionality Reduction for Multi-Fidelity Gaussian Processes using Bayesian Adaptation

    Tsilifis, Panagiotis / Pandita, Piyush / Ghosh, Sayan et al. | AIAA | 2021


    Multi-Objective Design Optimisation of an Airfoil with Geometrical Uncertainties Leveraging Multi-Fidelity Gaussian Process Regression

    Korondi, Péter Zénó / Marchi, Mariapia / Parussini, Lucia et al. | Springer Verlag | 2021