Data mining for faster, interpretable solutions to inverse problems: A case study using additive manufacturing-Reference-Cited by-同舟云学术

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Data mining for faster, interpretable solutions to inverse problems: A case study using additive manufacturing

Published:2021-12 Issue: Volume:6 Page:100122
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Kamath Chandrika^ORCID,Franzman Juliette,Ponmalai Ravi

Funder

Lawrence Livermore National Laboratory

US Department of Energy

Office of Science

Advanced Scientific Computing Research

Publisher

Elsevier BV

Subject

General Medicine

Reference24 articles.

1. LAPACK users’ guide;Anderson,1999

2. Locally weighted learning;Atkeson;AI Review,1997

3. Random search for hyper-parameter optimization;Bergstra;Journal of Machine Learning Research,2012

4. Process mapping for qualification across multiple direct metal additive manufacturing processes;Beuth,2013

5. A comparison between Markov approximations and other methods for large spatial data sets;Bolin;Computational Statistics & Data Analysis,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physics-Informed Machine Learning for metal additive manufacturing;Progress in Additive Manufacturing;2024-04-15

2. Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis;Machine Learning with Applications;2022-09

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