Parallelized Tensor Train Learning of Polynomial Classifiers

20 Dec 2016Zhongming ChenKim BatselierJohan A. K. SuykensNgai Wong

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 impractical for high-dimensional problems... (read more)

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