z-logo
open-access-imgOpen Access
Using Syntactic Similarity to Shorten the Training Time of Deep Learning Models using Time Series Datasets: A Case Study
Author(s) -
Silvestre Malta,
Pedro Pinto,
Manuel FernándezVeiga
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0010515700930100
Subject(s) - computer science , artificial intelligence , similarity (geometry) , time series , series (stratigraphy) , training (meteorology) , deep learning , machine learning , natural language processing , speech recognition , pattern recognition (psychology) , paleontology , physics , meteorology , image (mathematics) , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom