A Survey for Sparse Regularization Based Compression Methods-Reference-Cited by-同舟云学术

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A Survey for Sparse Regularization Based Compression Methods

Published:2022-04-16 Issue:4 Volume:9 Page:695-722
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Tang Anda,Quan Pei,Niu Lingfeng,Shi Yong

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s40745-022-00389-6.pdf

Reference145 articles.

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2. Olson DL, Shi Y, Shi Y (2007) Introduction to business data mining, vol 10. McGraw-Hill/Irwin

3. Liu F, Shi Y (2020) Investigating laws of intelligence based on AI IQ research. Ann Data Sci 7(3):399–416

4. Shi Y (2022) Advances in Big Data Analytics: Theory. Algorithms and Practices. Springer

5. Wang P, Ouyang H, Zhong Y, He H (2016) Cognition math based on factor space. Ann Data Sci 3(3):281–303

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