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cs.LG2022★ 2 cited
FastSTMF: Efficient tropical matrix factorization algorithm for sparse data
Amra Omanović, Polona Oblak, Tomaž Curk
Matrix factorization, one of the most popular methods in machine learning, has recently benefited from introducing non-linearity in prediction tasks using tropical semiring. The no…
cs.LG2016★ 8 cited
Learning the kernel matrix via predictive low-rank approximations
Martin Stražar, Tomaž Curk
Efficient and accurate low-rank approximations of multiple data sources are essential in the era of big data. The scaling of kernel-based learning algorithms to large datasets is l…