23 citations · 56 across the 7 of their papers we have counts for
Showing cs.DCShow all
2 papers · 1 filter
cs.DC2017★ 15 cited
Distributed Matrix Factorization using Asynchrounous Communication
Tom Vander Aa, Imen Chakroun, Tom Haber
Using the matrix factorization technique in machine learning is very common mainly in areas like recommender systems. Despite its high prediction accuracy and its ability to avoid…
cs.DC2017★ 3 cited
Distributed Bayesian Probabilistic Matrix Factorization
Tom Vander Aa, Imen Chakroun, Tom Haber
Matrix factorization is a common machine learning technique for recommender systems. Despite its high prediction accuracy, the Bayesian Probabilistic Matrix Factorization algorithm…