recent publications employed support vector machines and second-order Factorization Machines, respectively, to this end … account for second-order interactions. In thispaper, weapply higher-order Factorization Machines, for which efficient training … algorithms have only been available since 2016. As Factorization Machines require hyperparameters to be specified, we also …

recent publications employed support vector machines and second-order Factorization Machines, respectively, to this end … account for second-order interactions. In thispaper, weapply higher-order Factorization Machines, for which efficient training … algorithms have only been available since 2016. As Factorization Machines require hyperparameters to be specified, we also …

financial markets using Factorization Machines, which represent a state-of-the-art algorithm coping with high-dimensional data …-order Factorization Machines (SFM), third-order Factorization Machines (TFM), and adaptive-order FactorizationMachines (AFM). In the back …-testing study, we prove the efficiency of Factorization Machines in general and show that increasing complexity of Factorization …

Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix …, we study the case of rank-one factorization and show that when the matrix to be factored is not required to be …