Abstract: Boolean matrix factorization is a method to decompose a binary matrix into two binary factor matrices. Akin to other matrix factorizations, the factor matrices can be used for various data ...

Abstract: Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited ...

While the initial motivation may seem to be derived from the popular “Netflix prize problem”, recommendation systems find their use and application in many other fields such as “Business-to-customer” ...

MatCoupLy is a Python library for learning coupled matrix factorizations with flexible constraints and regularization. For a quick introduction to coupled matrix factorization and PARAFAC2 see the ...

In recent years, miRNAs have been verified to play an irreplaceable role in biological processes associated with human disease. Discovering potential disease-related miRNAs helps explain the ...

SIAM Journal on Applied Mathematics, Vol. 30, No. 4 (Jun., 1976), pp. 732-738 (7 pages) The explicit Wiener-Hopf factorization of the dispersion matrix Λ(z) is obtained for two scattering models which ...