Apr 4, 2019 · In this work we present SMURFF a high-performance feature-rich framework to compose and construct different Bayesian matrix-factorization ...
In this work we present SMURFF a high-performance feature-rich framework to compose and construct different Bayesian matrix-factorization methods. The framework ...
Bayesian Matrix Factorization Matrix factorization is a common machine learn- ing technique for recommender systems, like books for Amazon or movies for.
Abstract—Bayesian Matrix Factorization (BMF) is a powerful technique for recommender systems because it produces good results and is relatively robust ...
This provides a statistical framework in which the structural arrangement of the point-sets provides constraints on the pattern of correspondences used to ...
SMURFF is a highly optimized and parallelized framework for Bayesian Matrix and Tensors Factorization. SMURFF supports multiple matrix factorization methods.
In this work we present SMURFF a high-performance feature-rich framework to compose and construct different Bayesian matrix-factorization methods. The framework ...
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SMURFF: a high-performance framework for matrix factorization · Metadata · Authors · Conference · Title · Publication type · Collections.
The Bayesian Matrix Factorization (BMF) variant is especially powerful because it produces good results and is relatively robust against overfitting. As ...
In this work we present SMURFF ahigh-performance feature-rich framework to compose and construct differentBayesian matrix-factorization methods. The framework ...