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Data-driven simulation for NARX systems KU Leuven
Decoupling multivariate functions using second-order information and tensors KU Leuven Vrije Universiteit Brussel
© Springer International Publishing AG, part of Springer Nature 2018. The power of multivariate functions is their ability to model a wide variety of phenomena, but have the disadvantages that they lack an intuitive or interpretable representation, and often require a (very) large number of parameters. We study decoupled representations of multivariate vector functions, which are linear combinations of univariate functions in linear combinations ...