Текущий год

Том 15, 2025 / Выпуск 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v15.i4

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

A GENERALIZED LIKELIHOOD-WEIGHTED OPTIMAL SAMPLING ALGORITHM FOR RARE-EVENT PROBABILITY QUANTIFICATION Xianliang Gong, Yulin Pan

Xianliang Gong
University of Michigan

Yulin Pan
Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA

53-76 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2025054176

NONINTRUSIVE SURROGATE MODELING USING SPARSE RANDOM FEATURES WITH APPLICATIONS IN CRASHWORTHINESS ANALYSIS Maternus Herold, Jonas Siegfried Jehle, Felix Krahmer, Anna Veselovska

Maternus Herold
BMW Group

Jonas Siegfried Jehle
BMW Group

Felix Krahmer
Technical University of Munich, Department of Mathematics & Munich Data Science Institute, Boltzmannstrasse 3, Garching (Munich), 85748 Bavaria, Germany; Munich Center for Machine Learning, Arcisstraße 21 Munich, 80333 Bavaria, Germany

Anna Veselovska
Technical University of Munich & Munich Center for Machine Learning

77-97 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2025051106

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