Parallelized Tensor Train Learning of Polynomial Classifiers
Sign Up to like & getrecommendations! 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