Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Dynamic network representation based on latent factorization of tensors / / Hao Wu, Xuke Wu, Xin Luo
| Dynamic network representation based on latent factorization of tensors / / Hao Wu, Xuke Wu, Xin Luo |
| Autore | Wu Hao |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (89 pages) |
| Disciplina | 515.63 |
| Collana | SpringerBriefs in computer science |
| Soggetto topico | Calculus of tensors |
| ISBN | 981-19-8934-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. . |
| Record Nr. | UNISA-996547955203316 |
Wu Hao
|
||
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Dynamic Network Representation Based on Latent Factorization of Tensors / / by Hao Wu, Xuke Wu, Xin Luo
| Dynamic Network Representation Based on Latent Factorization of Tensors / / by Hao Wu, Xuke Wu, Xin Luo |
| Autore | Wu Hao |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (89 pages) |
| Disciplina | 515.63 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Artificial intelligence - Data processing
Quantitative research Data Science Data Analysis and Big Data |
| ISBN |
9789811989346
9811989346 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. . |
| Record Nr. | UNINA-9910678246803321 |
|
Wu Hao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Latent factor analysis for high-dimensional and sparse matrices : a particle swarm optimization-based approach / / Ye Yuan and Xin Luo
| Latent factor analysis for high-dimensional and sparse matrices : a particle swarm optimization-based approach / / Ye Yuan and Xin Luo |
| Autore | Yuan Ye |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (99 pages) |
| Disciplina | 519.535 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Latent structure analysis
Swarm intelligence |
| ISBN | 981-19-6703-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996499855703316 |
|
Yuan Ye
|
||
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Latent Factor Analysis for High-dimensional and Sparse Matrices : A particle swarm optimization-based approach / / by Ye Yuan, Xin Luo
| Latent Factor Analysis for High-dimensional and Sparse Matrices : A particle swarm optimization-based approach / / by Ye Yuan, Xin Luo |
| Autore | Yuan Ye |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (99 pages) |
| Disciplina | 519.535 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Artificial intelligence - Data processing
Quantitative research Data mining Data Science Data Analysis and Big Data Data Mining and Knowledge Discovery |
| ISBN |
9789811967030
9811967032 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Learning rate-free Latent Factor Analysis via PSO -- Chapter 3. Learning Rate and Regularization Coefficient-free Latent Factor Analysis via PSO -- Chapter 4. Regularization and Momentum Coefficient-free Non-negative Latent Factor Analysis via PSO -- Chapter 5. Advanced Learning rate-free Latent Factor Analysis via P2SO -- Chapter 6. Conclusion and Discussion. |
| Record Nr. | UNINA-9910631083703321 |
|
Yuan Ye
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural & Bio-inspired Processing and Robot Control
| Neural & Bio-inspired Processing and Robot Control |
| Autore | Li Shuai |
| Pubbl/distr/stampa | Frontiers Media SA, 2019 |
| Descrizione fisica | 1 online resource (135 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico |
Neurosciences
Science: general issues |
| Soggetto non controllato |
bio-inspiration
Control Learning neurorobotics Robotics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557680203321 |
|
Li Shuai
|
||
| Frontiers Media SA, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||