Iterative Censoring and Highly Efficient Machine Learning with Condition Number in LSMR Method-Reference-Cited by-同舟云学术

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Iterative Censoring and Highly Efficient Machine Learning with Condition Number in LSMR Method

Published:2023-07-24 Issue: Volume:7 Page:2190-2197
ISSN:
Container-title:2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)
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Author:

Chiyonobu Miho¹,Kuboi Itsuki²,Tanaka Rika²,Ozawa Shinya²,Hosoda Yohsuke²,Takata Masami³,Kimura Kinji²,Nakamura Yoshimasa⁴

Affiliation:

1. Graduate School of Humanities and Sciences, Nara Women's University,Nara,Japan

2. Graduate School of Engineering, University of Fukui,Fukui,Japan

3. Nara Women's University,Research Group of Information and Communication Technology for Life,Nara,Japan

4. Osaka Seikei University,Faculty of Data Science,Osaka,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487132/10487174/10487323.pdf?arnumber=10487323

Reference19 articles.

1. Rigorous proof of cubic convergence for the dqds algorithm for singular values

2. Einschlie�ungssatz f�r die charakteristischen Zahlen von Matrizen

3. Applied Numerical Linear Algebra

4. Accurate singular values and differential qd algorithms

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