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.
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
|
||
| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Pereverzyev, Sergei
|
||
| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep Reinforcement Learning : Fundamentals, Research and Applications / Hao Dong, Zihan Ding, Shanghang Zhang editors
| Deep Reinforcement Learning : Fundamentals, Research and Applications / Hao Dong, Zihan Ding, Shanghang Zhang editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xxvii, 514 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Deep Learning
Deep reinforcement learning Machine learning Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250103 |
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep Reinforcement Learning : Fundamentals, Research and Applications / Hao Dong, Zihan Ding, Shanghang Zhang editors
| Deep Reinforcement Learning : Fundamentals, Research and Applications / Hao Dong, Zihan Ding, Shanghang Zhang editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xxvii, 514 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
68-XX - Computer science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Deep Learning
Deep reinforcement learning Machine learning Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00250103 |
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling / Schirin Bär
| Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling / Schirin Bär |
| Autore | Bär, Schirin |
| Pubbl/distr/stampa | Wiesbaden, : Springer Vieweg, 2022 |
| Descrizione fisica | xxii, 148 p. : ill. ; 24 cm |
| Soggetto non controllato |
Flexible Manufacturing
Job Shop Scheduling Machine learning Multi-Agent System Production Scheduling Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276140 |
|
Bär, Schirin
|
||
| Wiesbaden, : Springer Vieweg, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling / Schirin Bär
| Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling / Schirin Bär |
| Autore | Bär, Schirin |
| Pubbl/distr/stampa | Wiesbaden, : Springer Vieweg, 2022 |
| Descrizione fisica | xxii, 148 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
97-XX - Mathematics education [MSC 2020] |
| Soggetto non controllato |
Flexible Manufacturing
Job Shop Scheduling Machine learning Multi-Agent System Production Scheduling Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276140 |
|
Bär, Schirin
|
||
| Wiesbaden, : Springer Vieweg, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide
| Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide |
| Autore | Bartz Eva |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2023 |
| Descrizione fisica | 1 electronic resource (323 p.) |
| Altri autori (Persone) |
Bartz-BeielsteinThomas
ZaeffererMartin MersmannOlaf |
| Soggetto topico |
Artificial intelligence
Machine learning Mathematical & statistical software Mathematical physics |
| Soggetto non controllato |
Hyperparameter Tuning
Hyperparameters Tuning Deep Neural Networks Reinforcement Learning Machine Learning |
| ISBN | 981-19-5170-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996546829303316 |
|
Bartz Eva
|
||
| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Algorithms for Packing and Cutting Problem / Yunqing Rao, Qiang Luo
| Intelligent Algorithms for Packing and Cutting Problem / Yunqing Rao, Qiang Luo |
| Autore | Rao, Yunqing |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | x, 330 p. : ill. ; 24 cm |
| Altri autori (Persone) | Luo, Qiang |
| Soggetto non controllato |
Beam search
Cutting problem Engineering application Genetic algorithm Grey wolf optimization Integrated system Intelligent method Irregular strip packing Knapsack packing problem Packing problem Packing problem with defects Parallel machine scheduling Particle Swarm Optimization Rectangular strip packing Reinforcement Learning Tabu search Variable neighborhood search |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278439 |
|
Rao, Yunqing
|
||
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Intelligent Algorithms for Packing and Cutting Problem / Yunqing Rao, Qiang Luo
| Intelligent Algorithms for Packing and Cutting Problem / Yunqing Rao, Qiang Luo |
| Autore | Rao, Yunqing |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | x, 330 p. : ill. ; 24 cm |
| Altri autori (Persone) | Luo, Qiang |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T20 - Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020] |
| Soggetto non controllato |
Beam search
Cutting problem Engineering Applications Genetic Algorithms Grey wolf optimization Integrated system Intelligent method Irregular strip packing Knapsack packing problem Packing problem Packing problem with defects Parallel machine scheduling Particle Swarm Optimization Rectangular strip packing Reinforcement Learning Tabu search Variable neighborhood search |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278439 |
|
Rao, Yunqing
|
||
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Machine Learning Applications in Electronic Design Automation / Haoxing Ren, Jiang Hu editors
| Machine Learning Applications in Electronic Design Automation / Haoxing Ren, Jiang Hu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xii, 583 p. : ill. ; 24 cm |
| Soggetto topico |
94-XX - Information and communication theory, circuits [MSC 2020]
94Cxx - Circuits, networks [MSC 2020] |
| Soggetto non controllato |
Convolutional Neural Networks
Deep learning for EDA Generative Adversarial Networks Graph neural networks Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277814 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
