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An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev
| An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev |
| Autore | Pereverzyev, Sergei |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xiv, 152 p. : ill. ; 24 cm |
| Soggetto non controllato |
Artificial Intelligence
Deep Learning Examples Integral operators Learning theory Linear regularization Tikhonov RKHS deep neural networks Ranking learning Regression learning Regularization theory Reinforcement Learning Reproducing Kernel Hilbert spaces Statistical learning Unsupervised Domain Adaptation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276167 |
Pereverzyev, Sergei
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| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev
| An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev |
| Autore | Pereverzyev, Sergei |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xiv, 152 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
65C20 - Probabilistic models, generic numerical methods in probability and statistics [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Deep Learning Examples Integral operators Learning theory Linear regularization Tikhonov RKHS deep neural networks Ranking learning Regression learning Regularization theory Reinforcement Learning Reproducing Kernel Hilbert spaces Statistical learning Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276167 |
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Pereverzyev, Sergei
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| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generative Adversarial Networks for Image Generation / Xudong Mao, Qing Li
| Generative Adversarial Networks for Image Generation / Xudong Mao, Qing Li |
| Autore | Mao, Xudong |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xii, 77 p. : ill. ; 24 cm |
| Altri autori (Persone) | Li, Qing |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Adversarial Networks
Deep Learning Generative Adversarial Networks Generative models Image Generation Image to Image Translation Machine learning Neural networks Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275456 |
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Mao, Xudong
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generative Adversarial Networks for Image Generation / Xudong Mao, Qing Li
| Generative Adversarial Networks for Image Generation / Xudong Mao, Qing Li |
| Autore | Mao, Xudong |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xii, 77 p. : ill. ; 24 cm |
| Altri autori (Persone) | Li, Qing |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Adversarial Networks
Deep Learning Generative Adversarial Networks Generative models Image Generation Image to Image Translation Machine learning Neural networks Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275456 |
|
Mao, Xudong
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||
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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