Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification

no code implementations • 11 Apr 2021 • Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis

We hereby propose the Rank-R Feedforward Neural Network (FNN), a tensor-based nonlinear learning model that imposes Canonical/Polyadic decomposition on its parameters, thereby offering two core advantages compared to typical machine learning methods.

BIG-bench Machine Learning General Classification