1 code implementation • 29 May 2017 • Tom Vander Aa, Imen Chakroun, Tom Haber
Using the matrix factorization technique in machine learning is very common mainly in areas like recommender systems.
Distributed, Parallel, and Cluster Computing
no code implementations • 1 Dec 2015 • Adam Arany, Jaak Simm, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir Chupakhin, Hugo Ceulemans, Yves Moreau
Method: to analyze the interaction types we propose factorization method Macau which allows us to combine different measurement types into a single tensor together with proteins and compounds.
no code implementations • 15 Sep 2015 • Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir Chupakhin, Hugo Ceulemans, Yves Moreau
We propose Macau, a powerful and flexible Bayesian factorization method for heterogeneous data.