In this article, sparse nonnegative matrix factorization (SNMF) is formulated as a mixed-integer bicriteria optimization problem for minimizing matrix factorization errors and maximizing factorized ...

Practice with Recursive Functions Recursion is a very useful programming skill. You may not use it very often in most languages, but the ability to think recursively is a valuable skill to acquire.

Because nonnegative Ricci curvature is a condition that appears often in math and physics, “one would hope that you have a certain amount of innate control over these things,” Naber said.

AI systems have attained superhuman performance across various domains. If the hidden knowledge encoded in these highly capable systems can be leveraged, human knowledge and performance can be adva ...

coldrain was formed in Nagoya in 2007. Vocalist Masato, who has both Japanese and American citizenship, sings English lyrics with divine melodies along with the amazing and emotional sound of twin ...

Presented methods use various Nonnegative Matrix Factorization and Tensor decomposition algorithms. It was based on research performed during realization of PhD.

A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal patterns hidden in multichannel data emerging from various applications. It often adopts a single latent ...

Keywords: lncRNA, nonnegative matrix factorization, gene ontology, networks, regularization Citation: Zhao J and Ma X (2019) Multiple Partial Regularized Nonnegative Matrix Factorization for ...

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Discover solvability conditions for long-standing nonnegative inverse eigenvalues problems (NIEP) in this groundbreaking paper. Gain effective ways to determine solvability.