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Parallelized Tensor Train Learning of Polynomial Classifiers

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0 Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2017.2771264

Abstract: In pattern classification, polynomial classifiers are well-studied methods as they are capable of generating complex decision surfaces. Unfortunately, the use of multivariate polynomials is limited to kernels as in support-vector machines, because polynomials quickly become… read more here.

Keywords: tensor train; polynomial classifiers; parallelized tensor; tensor ... See more keywords