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Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee
| Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee |
| Autore | Pourmohamad, Tony |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Lee, Herbert K. H. |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian Network Black box optimization Computer models Constrained optimization Gaussian processes Network models Probability and Statistics in Computer Science Sequential experimental design Simulator Surrogate modeling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274590 |
Pourmohamad, Tony
|
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee
| Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee |
| Autore | Pourmohamad, Tony |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Lee, Herbert K. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian Network Black box optimization Computer models Constrained optimization Gaussian processes Network models Probability and Statistics in Computer Science Sequential experimental design Simulator Surrogate modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274590 |
|
Pourmohamad, Tony
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems / Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis editors
| Black Box Optimization, Machine Learning, and No-Free Lunch Theorems / Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 388 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] 90-XX - Operations research, mathematical programming [MSC 2020] 90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020] |
| Soggetto non controllato |
Black box optimization
Data driven computation Data sciences problems Deep Learning Fuzzy Optimization Machine learning No-free lunch theorems Non-free theorems in machine learning Non-free theorems in optimization Stochastic Optimization Tuning algorithms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274601 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems / Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis editors
| Black Box Optimization, Machine Learning, and No-Free Lunch Theorems / Panos M. Pardalos, Varvara Rasskazova, Michael N. Vrahatis editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 388 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] 90-XX - Operations research, mathematical programming [MSC 2020] 90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020] |
| Soggetto non controllato |
Black box optimization
Data driven computation Data sciences problems Deep Learning Fuzzy Optimization Machine learning No-free lunch theorems Non-free theorems in machine learning Non-free theorems in optimization Stochastic Optimization Tuning algorithms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274601 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||