Tech Xplore

A method to create fault-tolerant analog in-memory computing systems

Conventional computers process and store information using separate components, known as a processor and memory unit. Because ...
technologynetworks

Multiomics Data Integration With Machine Learning: Methods, Tools, and Biological Applications

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
IEEE

Physics-Informed Matrix Factorization Operator

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

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources

Abstract: Most previous studies on matrix factorization (MF)-based collaborative filtering (CF) have focused solely on user rating information for predicting recommendations. However, to further ...