Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition
The Canonical Polyadic (CP) tensor decomposition is frequently used as a model in applications in a variety of different fields. Using jackknife resampling to estimate parameter uncertainties is often desirable but results in an increase of the already high computational cost. Upon observation that...
主要な著者: | , , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Frontiers Media S.A.
2022-04-01
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シリーズ: | Frontiers in Applied Mathematics and Statistics |
主題: | |
オンライン・アクセス: | https://www.frontiersin.org/articles/10.3389/fams.2022.830270/full |