Facilitating time series classification by linear law-based feature space transformation

The aim of this paper is to perform uni- and multivariate time series classification tasks with linear law-based feature space transformation (LLT). First, LLT is used to separate the training and test sets of instances. Then, it identifies the governing patterns (laws) of each input sequence in the...

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Detalles Bibliográficos
Autores principales: Kurbucz, Marcell T., Pósfay, Péter, Jakovác, Antal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613694/
https://www.ncbi.nlm.nih.gov/pubmed/36302821
http://dx.doi.org/10.1038/s41598-022-22829-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613694/
https://www.ncbi.nlm.nih.gov/pubmed/36302821
http://dx.doi.org/10.1038/s41598-022-22829-2

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