Dynamics reconstruction and classification via Koopman features

Knowledge discovery and information extraction of large and complex datasets has attracted great attention in wide-ranging areas from statistics and biology to medicine. Tools from machine learning, data mining, and neurocomputing have been extensively explored and utilized to accomplish such compel...

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Vydáno v:	Data mining and knowledge discovery Ročník 33; číslo 6; s. 1710 - 1735
Hlavní autoři:	Zhang, Wei, Yu, Yao-Chi, Li, Jr-Shin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.11.2019 Springer Nature B.V
Témata:	Analytics Artificial Intelligence Bioinformatics Chemistry and Earth Sciences Classification Computer Science Data mining Data Mining and Knowledge Discovery Dynamic characteristics Dynamic systems theory Dynamical systems Feature extraction Information retrieval Information Storage and Retrieval Linear systems Machine learning Nonlinear systems Pattern recognition Physics Seizures Statistics for Engineering Support vector machines System theory Dimensionality reduction Koopman operators Dynamic data mining Healthcare Time-series classification Bioinformatics Spectral methods Data-driven methods
ISSN:	1384-5810, 1573-756X
On-line přístup:	Získat plný text
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