Dynamic Network Representation Based on Latent Factorization of Tensors
A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time inte...
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| Main Authors: | , , |
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| 企業作者: | |
| 格式: | 電子 電子書 |
| 語言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| 叢編: | SpringerBriefs in Computer Science,
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-981-19-8934-6 |
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書本目錄:
- Chapter 1 IntroductionChapter
- 2 Multiple Biases-Incorporated Latent Factorization of tensors
- Chapter 3 PID-Incorporated Latent Factorization of Tensors
- Chapter 4 Diverse Biases Nonnegative Latent Factorization of Tensors
- Chapter 5 ADMM-Based Nonnegative Latent Factorization of Tensors
- Chapter 6 Perspectives and Conclusion. .