Physics Department, Illinois Institute of Technology, Chicago, IL 60616, U.S.A. Institute for Theoretical Physics, State University of New York, Stony Brook, NY 11794 ...

In fact, this factorization method always works for odd n. But computers can only perform it fast enough if the two prime factors of n are not too far apart. And this was precisely the problem ...

It is currently necessary for recommenders to be time-efficient and optimal. Collaborative filtering-based Matrix Factorization approaches have proven to be powerful for recommender systems. The ...

Unlike traditional encryption, PQC methods do not rely on integer factorization or discrete logarithm problems, which are vulnerable to quantum attacks. Instead, they utilize advanced mathematical ...

Abstract: Deep matrix factorization has become a pivotal technique for Point of Interest (POI) recommendations, effectively capturing complex user-POI interactions to improve user experiences. However ...

Proyek ini merupakan bagian dari Tugas 2 dalam mata kuliah Pembelajaran Mesin Kelas A. Kami melakukan eksplorasi dan implementasi model regresi untuk memahami hubungan antara variabel dalam dataset ...

FLINT is a C library in support of computations in number theory. It's also a research project into algorithms in number theory. FLINT consists mainly of fast scalar and polynomial arithmetic, ...

In this study, two signal decompositions—independent component analysis and non-negative matrix factorization—were used to create a low-dimensional input signal that divides noise, surface muscles, ...