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- Publisher Website: 10.1007/978-3-031-22438-6
- Scopus: eid_2-s2.0-85159382736
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Book: Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications
Title | Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications |
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Authors | |
Keywords | Automatic rank determination Bayesian inference Bayesian modeling Structured tensor decomposition Tensor rank Tensor signal processing |
Issue Date | 1-Mar-2023 |
Publisher | Springer International Publishing |
Abstract | The book begins with an introduction to the general topics of tensors and Bayesian theories. It then discusses probabilistic models of various structured tensor decompositions and their inference algorithms, with applications tailored for each tensor decomposition presented in the corresponding chapters. The book concludes by looking to the future, and areas where this research can be further developed. |
Persistent Identifier | http://hdl.handle.net/10722/347437 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Cheng, Lei | - |
dc.contributor.author | Chen, Zhongtao | - |
dc.contributor.author | Wu, Yik-Chung | - |
dc.date.accessioned | 2024-09-23T03:10:51Z | - |
dc.date.available | 2024-09-23T03:10:51Z | - |
dc.date.issued | 2023-03-01 | - |
dc.identifier.isbn | 9783031224379 | - |
dc.identifier.uri | http://hdl.handle.net/10722/347437 | - |
dc.description.abstract | <p>The book begins with an introduction to the general topics of tensors and Bayesian theories. It then discusses probabilistic models of various structured tensor decompositions and their inference algorithms, with applications tailored for each tensor decomposition presented in the corresponding chapters. The book concludes by looking to the future, and areas where this research can be further developed.</p> | - |
dc.language | eng | - |
dc.publisher | Springer International Publishing | - |
dc.subject | Automatic rank determination | - |
dc.subject | Bayesian inference | - |
dc.subject | Bayesian modeling | - |
dc.subject | Structured tensor decomposition | - |
dc.subject | Tensor rank | - |
dc.subject | Tensor signal processing | - |
dc.title | Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications | - |
dc.type | Book | - |
dc.identifier.doi | 10.1007/978-3-031-22438-6 | - |
dc.identifier.scopus | eid_2-s2.0-85159382736 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 183 | - |
dc.identifier.eisbn | 9783031224386 | - |