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 ...

By offering a comprehensive taxonomy and exhaustive review of non-negative matrix factorization (NMF)-based recommender systems (RS), this work not only fills a critical gap in the existing literature ...

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...

The growing threat of the right must be addressed. But this must not come at the expense of dissolving socialist politics into coalitions whose strategies have been responsible for the growth of ...

The covariance matrix is defined based on Eq. 2. TABLE 1. Poincare planes used in this study. As mentioned before, features are extracted based on AP and the proposed Poincare planes. Statistical ...

Applied modern C/C++ in calculus, discrete mathematics, robotics and machine learning with CMake.

In human cells, lipid droplets (LDs) predominantly contain either cholesteryl esters or triacylglycerols. This article ...

Finnish start-up Fiberdom reports that it has secured €3.5 million in funding to develop and scale its patented technology which creates a '100% plastic-free' material, seeking to replace ...

The findings are both alarming and informative. The study demonstrated a non-linear relationship between PM2.5 concentration and its oxidative toxicity.