Abstract: Lower upper (LU) factorization for sparse matrices is the most important computing step for circuit simulation problems. However, parallelizing LU factorization on the graphic processing ...
Abstract: Nonnegative matrix factorization (NMF), which aims at obtaining the nonnegative low-dimensional representation of data, has received wide attention. To obtain more effective nonnegative ...
The R package mfair implements the methods based on the paper MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information. MFAI integrates gradient boosted trees in the ...
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