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 | ||
| ||
An Introduction to Pattern Recognition and Machine Learning / Paul Fieguth
| An Introduction to Pattern Recognition and Machine Learning / Paul Fieguth |
| Autore | Fieguth, Paul |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxii, 471 p. : ill. ; 24 cm |
| Soggetto non controllato |
Bayesian reasoning
Case studies in pattern classification Computational learning Crowd tracking Face recognition Hand-writing recognition Internet image searching Machine learning Neighbor-based models Pattern Recognition and Machine Learning Pattern classification Pattern recognition Statistical learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276846 |
|
Fieguth, Paul
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Introduction to Pattern Recognition and Machine Learning / Paul Fieguth
| An Introduction to Pattern Recognition and Machine Learning / Paul Fieguth |
| Autore | Fieguth, Paul |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxii, 471 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] |
| Soggetto non controllato |
Bayesian reasoning
Case studies in pattern classification Computational learning Crowd tracking Face recognition Hand-writing recognition Internet image searching Machine learning Neighbor-based models Pattern Recognition and Machine Learning Pattern classification Pattern recognition Statistical learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276846 |
|
Fieguth, Paul
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.]
| An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 60 p. : ill. ; 24 cm |
| Soggetto non controllato |
Data Mining
Inference Python Python software Statistical learning Supervised learning Unsupervsied learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278708 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.]
| An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 60 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Data Mining
Inference Python Python software Statistical learning Supervised learning Unsupervsied learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278708 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
| An introduction to statistical learning : with applications in R / Gareth James ... [et al.] |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2021 |
| Descrizione fisica | xv, 607 p. : ill. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] |
| Soggetto non controllato |
Data Mining
Inference R software Statistical learning Supervised learning Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275551 |
| New York, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
| An introduction to statistical learning : with applications in R / Gareth James ... [et al.] |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2021 |
| Descrizione fisica | xv, 607 p. : ill. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Data Mining
Inference R software Statistical learning Supervised learning Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275551 |
| New York, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau
| Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
| Autore | Schonlau, Matthias |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
| Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278722 |
|
Schonlau, Matthias
|
||
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau
| Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
| Autore | Schonlau, Matthias |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91B82 - Statistical methods; economic indices and measures [MSC 2020] |
| Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278722 |
|
Schonlau, Matthias
|
||
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
