Tensor-based Polynomial Features Generation for High-order Neural Networks

This paper discusses the methods and algorithms for polynomial features generation. The polynomial features generation is the very first step for the High-order Neural Units evaluation. The algorithms for polynomial features generation based on recursive calls are memory effective; however, these algorithms can not benefit from the modern hardware optimizations for neural networks focused on fast ...