A curated set of marimo notebooks based on Matrix Decomposition functions, written in Python, each pairing a mathematical derivation with annotated Python including an interactive visualization, ...

Abstract: Matrix factorization is a fundamental characterization model in machine learning and is usually solved using mathematical decomposition reconstruction loss. However, matrix factorization is ...

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 ...

ABSTRACT: The offline course “Home Plant Health Care,” which is available to the senior population, serves as the study object for this paper. Learn how to use artificial intelligence technologies to ...

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States ...

College of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum, Qingdao 266580, China ...