May 14, 2024, 4:41 a.m. | Peter Tino, Robert Simon Fong, Roberto Fabio Leonarduzzi

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.07045v1 Announce Type: new
Abstract: This work proposes a time series prediction method based on the kernel view of linear reservoirs. In particular, the time series motifs of the reservoir kernel are used as representational basis on which general readouts are constructed. We provide a geometric interpretation of our approach shedding light on how our approach is related to the core reservoir models and in what way the two approaches differ. Empirical experiments then compare predictive performances of our suggested …

abstract arxiv cs.lg cs.ne general interpretation kernel light linear modeling motif prediction predictive predictive modeling series space time series type view work

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