Learning elastic memory online for fast time series forecasting

It is well known that any kind of time series algorithm requires past information to model the inherent temporal relationship between past and future. This temporal dependency (i.e. number of past samples required for a good prediction) is generally addressed by feeding a number of past instances to...

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Bibliographic Details
Main Authors: Samanta, Subhrajit, Pratama, Mahardhika, Sundaram, Suresh, Srikanth, Narasimalu
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160973
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Institution: Nanyang Technological University
Language: English
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