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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 | ||
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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 | ||
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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 | ||
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Effectuation entwickeln : Ein auf Reinforcement Learning aufbauender agentenbasierter Modellierungsbeitrag zur Formalisierung unternehmerischen Verhaltens / / von Martin Sterzel
| Effectuation entwickeln : Ein auf Reinforcement Learning aufbauender agentenbasierter Modellierungsbeitrag zur Formalisierung unternehmerischen Verhaltens / / von Martin Sterzel |
| Autore | Sterzel Martin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Wiesbaden, : Springer Nature, 2023 |
| Descrizione fisica | 1 online resource (XXIX, 159 S. 39 Abb., 30 Abb. in Farbe.) |
| Disciplina | 658.421 |
| Soggetto topico |
Entrepreneurship
New business enterprises Technological innovations Innovation and Technology Management |
| Soggetto non controllato |
Entrepreneurship
Effectuation Simulation Reinforcement Learning Agentenbasierte Modellierung Innovation |
| ISBN | 3-658-39251-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | 1 Einleitung -- 2 Aspekte entscheidungstheoretischer Grundlagen im Rahmen von Effectuation -- 3 Evaluierung bestehender Modellierungs- und Simulationsansätze im Kontext von Effectuation -- 4 Forschungsmethodik -- 5 Ergebnisse des Lernprozesses -- 6 Zusammenfassung und Ausblick. |
| Record Nr. | UNINA-9910632868203321 |
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Sterzel Martin
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| Wiesbaden, : Springer Nature, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Bär, Schirin
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| Wiesbaden, : Springer Vieweg, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Bär, Schirin
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| Wiesbaden, : Springer Vieweg, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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. | UNINA-9910637747703321 |
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Bartz Eva
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| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Bartz Eva
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| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
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Rao, Yunqing
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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