Lie Group Machine Learning / (Record no. 84486)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05428nam a22007575i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9783110499506 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730161618.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210830t20182019gw fo d z eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783110499506 |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | |
| 100 1# - AUTHOR NAME | |
| Author | Li, Fanzhang, |
| 245 10 - TITLE STATEMENT | |
| Title | Lie Group Machine Learning / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (XVI, 517 p.) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artifi cial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory. With abundant case studies, this book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artifi cial intelligence, machine learning, automation, mathematics, management science, cognitive science, financial management, and data analysis. In addition, this text can be used as the basis for teaching the principles of machine learning. Li Fanzhang is professor at the Soochow University, China. He is director of network security engineering laboratory in Jiangsu Province and is also the director of the Soochow Institute of industrial large data. He published more than 200 papers, 7 academic monographs, and 4 textbooks. Zhang Li is professor at the School of Computer Science and Technology of the Soochow University. She published more than 100 papers in journals and conferences, and holds 23 patents. Zhang Zhao is currently an associate professor at the School of Computer Science and Technology of the Soochow University. He has authored and co-authored more than 60 technical papers. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Zhang, Li, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Zhang, Zhao, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1515/9783110499506 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/isbn/9783110499506 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/cover/covers/9783110499506.jpg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin ; |
| -- | Boston : |
| -- | De Gruyter, |
| -- | [2018] |
| 264 #4 - | |
| -- | ©2019 |
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| -- | text |
| -- | txt |
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| -- | computer |
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| -- | rdamedia |
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| -- | online resource |
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| -- | text file |
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| -- | rda |
| 588 0# - | |
| -- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Intelligence (AI) & Semantics. |
| 912 ## - | |
| -- | 978-3-11-060425-2 EBOOK PACKAGE COMPLETE 2018 English |
| -- | 2018 |
| 912 ## - | |
| -- | 978-3-11-061685-9 EBOOK PACKAGE COMPLETE DG 2019 English |
| -- | 2019 |
| 912 ## - | |
| -- | 978-3-11-071956-7 DG Plus eBook-Package 2019 |
| -- | 2019 |
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| -- | ZDB-23-DEI |
| -- | 2018 |
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| -- | ZDB-23-DGG |
| -- | 2017 |
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