Exploring interval implicitization in real-valued time series classification and its applications

Due to the fact of uncertainty contained in observed real-valued time series, the aim of this paper is to explore interval implicitization in real-valued time series classification problems. A novel real-valued time series classification method under the transformed implicit interval-valued data env...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	The Journal of supercomputing Ročník 79; číslo 3; s. 3373 - 3391
Hlavní autori:	Tao, Zhifu, Yao, Bingxin, Zhu, Jiaming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.02.2023 Springer Nature B.V
Predmet:	Algorithms Classification Compilers Computer Science Datasets Decomposition Interpreters Methods Neural networks Processor Architectures Programming Languages Time series Interval-valued time series ARIMA Dynamic time warping Time series Classification
ISSN:	0920-8542, 1573-0484
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!