Source Model Selection for Deep Learning in the Time Series Domain

Source Model Selection for Deep Learning in the Time Series Domain

Transfer Learning aims to transfer knowledge from a source task to a target task. We focus on a situation when there is a large number of available source models, and we are interested in choosing a single source model that can maximize the predictive performance in the target domain. Existing metho...

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Bibliographic Details
Main Authors: Amiel Meiseles, Lior Rokach
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
model selection
time series
transfer learning
Online Access:https://ieeexplore.ieee.org/document/8949507/

Internet

https://ieeexplore.ieee.org/document/8949507/

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