Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties

Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens

We present a general framework to learn functions in tensor product reproducing kernel Hilbert spaces (TP-RKHSs). The methodology is based on a novel representer theorem suitable f…