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Kernel Methods for Nonlinear Connectivity Detection
In this paper, we show that the presence of nonlinear coupling between time series may be detected using kernel feature space [Formula: see text] representations while dispensing with the need to go back to solve the pre-image problem to gauge model adequacy. This is done by showing that the kerneli...
Tallennettuna:
| Julkaisussa: | Entropy (Basel) |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7515096/ https://ncbi.nlm.nih.gov/pubmed/33267324 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21060610 |
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