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.
Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27 / Antonio Canale ... [et al.] editors
| Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27 / Antonio Canale ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xi, 156 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92Bxx - Mathematical biology in general [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92Cxx - Physiological, cellular and medical topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Complex data
Data science Multimodality Imaging Data Neuroscience Statistics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125017 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Time Series Analysis and Forecasting : Selected Contributions from ITISE 2017 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors
| Time Series Analysis and Forecasting : Selected Contributions from ITISE 2017 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 340 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Big Data Complex data Computational intelligence methods Dimensionality reduction Econometric models Energy time series forecasting Forecasting Forecasting in real problems High-Dimensional Data Mathematical methodology for time series On-line learning in time series Pattern recognition Similarity measures Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125060 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
