Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data / Morris, K.J., Egan, S.D., Linsangan, J.L., Leung, C.K., Cuzzocrea, A., Hoi, C.S.H.. - STAMPA. - (2018), pp. 1486-1491. (17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018 usa 2018) [10.1109/ICMLA.2018.00242].
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data
Cuzzocrea, Alfredo
;
2018-01-01
Abstract
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock DataFile in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
08614267.pdf
Accesso chiuso
Tipologia:
Documento in Versione Editoriale
Licenza:
Copyright Editore
Dimensione
356.47 kB
Formato
Adobe PDF
|
356.47 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
