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of 218
pro vyhledávání: '"Curk, Tomaž"'
Tropical semiring has proven successful in several research areas, including optimal control, bioinformatics, discrete event systems, or solving a decision problem. In previous studies, a matrix two-factorization algorithm based on the tropical semir
Externí odkaz:
http://arxiv.org/abs/2305.06624
Motivation: The rapid growth of metagenomics sequencing data makes metagenomics increasingly dependent on computational and statistical methods for fast and efficient analysis. Consequently, novel analysis tools for big-data metagenomics are constant
Externí odkaz:
http://arxiv.org/abs/2210.00831
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 non-linearity enables a better fit to extreme values and distributions,
Externí odkaz:
http://arxiv.org/abs/2205.06619
What kind of questions about human mobility can computational analysis help answer? How to translate the findings into anthropology? We analyzed a publicly available data set of road traffic counters in Slovenia to answer these questions. The data re
Externí odkaz:
http://arxiv.org/abs/2111.15661
Publikováno v:
Amra Omanovic, Hilal Kazan, Polona Oblak and Tomaz Curk. BMC Bioinformatics 22: 89 (2021)
Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose a method called Sparse Tropical Matrix F
Externí odkaz:
http://arxiv.org/abs/2012.05210
Akademický článek
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Autor:
Stražar, Martin, Curk, Tomaž
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 limited by the O(n^2) computation and storage complexity of the full ke
Externí odkaz:
http://arxiv.org/abs/1601.04366
Publikováno v:
In Expert Systems With Applications 1 December 2020 160
Autor:
Gomišček, Rok, Curk, Tomaž
Publikováno v:
In Expert Systems With Applications 15 July 2020 150
Publikováno v:
In Simulation Modelling Practice and Theory November 2018 88:1-16