Machine Learning Tools for Forecasting Correlated Time Series (keynote)

Gerardo Rubino

Conference Papers Year :

Machine Learning Tools for Forecasting Correlated Time Series (keynote)

(1)

1

Gerardo Rubino

Function : Author
PersonId : 833479

Dependability Interoperability and perfOrmance aNalYsiS Of networkS

Keywords

Supervised learning Time series prediction Recurrent neural networks Perceptual Quality and other networking problems PSQA Random Neurons ESQNs

Domains

Computer Science [cs] Artificial Intelligence [cs.AI] Mathematics [math] Statistics [math.ST]

Fichier principal

keynote India20a.pdf (10.2 Mo)

Origin : Files produced by the author(s)

Gerardo Rubino : Connect in order to contact the contributor

https://hal.inria.fr/hal-03122282

Submitted on : Wednesday, January 27, 2021-11:09:44 AM

Last modification on : Thursday, January 26, 2023-4:02:38 AM

Long-term archiving on: Wednesday, April 28, 2021-6:18:15 PM

Dates and versions

hal-03122282 , version 1 (27-01-2021)

Identifiers

HAL Id : hal-03122282 , version 1

Cite

Gerardo Rubino. Machine Learning Tools for Forecasting Correlated Time Series (keynote). ICSADADS 2020 - International Conference on Statistical Applications in Data Analytics & Data Science, Feb 2020, Coimbatore, India. ⟨hal-03122282⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

UNIV-RENNES1 CNRS INRIA INSA-RENNES IRISA INSMI CENTRALESUPELEC INRIA2 UR1-MATH-STIC UR1-UFR-ISTIC UNIV-RENNES UR1-MATH-NUM

28 View

27 Download

Machine Learning Tools for Forecasting Correlated Time Series (keynote)

Keywords

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Share