Текущий год

Том 15, 2025 / Выпуск 4

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Table of Contents:

A NOVEL PROBABILISTIC TRANSFER LEARNING STRATEGY FOR POLYNOMIAL REGRESSION Wyatt Bridgman, Uma Balakrishnan, Reese E. Jones, Jiefu Chen, Xuqing Wu, Cosmin Safta, Yueqin Huang, Mohammad Khalil

Wyatt Bridgman
Sandia National Laboratories

Uma Balakrishnan
Sandia National Laboratories, Livermore, California 94550, USA

Reese E. Jones
Sandia National Laboratories, Livermore, California 94551, USA

Jiefu Chen
University of Houston, Houston, Texas 77081, USA

Xuqing Wu
University of Houston

Cosmin Safta
Sandia National Labs

Yueqin Huang
University of Houston, Houston, Texas 77081, USA

Mohammad Khalil
Sandia National Labs

1-19 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2024052051

STABILITY AND CONVERGENCE OF SOLUTIONS TO STOCHASTIC INVERSE PROBLEMS USING APPROXIMATE PROBABILITY DENSITIES Troy Butler, Rylan Spence, Timothy Wildey, Tian Yu Yen

Troy Butler
University of Colorado Denver, Department of Mathematical and Statistical Sciences, Denver, Colorado 80204, USA

Rylan Spence
Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA

Timothy Wildey
Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185

Tian Yu Yen
Sandia National Laboratories

21-51 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2024054008

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