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cs.LG2020
Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems
Allen G Hart, James L Hook, Jonathan H P Dawes
Echo State Networks (ESNs) are a class of single-layer recurrent neural networks with randomly generated internal weights, and a single layer of tuneable outer weights, which are u…
cs.LG2018
Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
Sanjar Karaev, James Hook, Pauli Miettinen
Nonnegative matrix factorization (NMF) is one of the most frequently-used matrix factorization models in data analysis. A significant reason to the popularity of NMF is its interpr…