Frontiers

Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes

1 School of Mathematics and Statistics, Shandong University, Weihai, China 2 School of Control Science and Engineering, Shandong University, Jinan, China Extensive clinical and biomedical studies have ...
IEEE

A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis

Abstract: A large-scale dynamically weighted directed network (DWDN) involving numerous entities and massive dynamic interaction is an essential data source in many big-data-related applications, like ...
IEEE

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction

Abstract: Co-administration of two or more drugs simultaneously can result in adverse drug reactions. Identifying drug-drug interactions (DDIs) is necessary, especially for drug development and for ...
GitHub

non-negative-matrix-factorization

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization." ...
GitHub

non-negative-matrix-factorization

gamma_flow (Guided Analysis of Multi-label spectra by Matrix Factorization for Lightweight Operational Workflows) includes the classification of test spectra to predict their constituents, the ...
JSTOR Daily

Polynomial Factorization over F

We describe algorithms for polynomial factorization over the binary field F2, and their implementation. They allow polynomials of degree up to 250 000 to be factored in about one day of CPU time, ...