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pro vyhledávání: '"Handhayani, Teny"'
Autor:
Handhayani, Teny, Cussens, James
Causal learning is a beneficial approach to analyze the cause and effect relationships among variables in a dataset. A causal graph can be generated from a dataset using a particular causal algorithm, for instance, the PC algorithm or Fast Causal Inf
Externí odkaz:
http://arxiv.org/abs/1910.03055
Autor:
Handhayani, Teny1 (AUTHOR) tenyh@fti.untar.ac.id
Publikováno v:
Scientific Reports. 4/11/2023, Vol. 13 Issue 1, p1-11. 11p.
Publikováno v:
IAENG International Journal of Computer Science; Dec2023, Vol. 50 Issue 4, p1479-1487, 9p
Autor:
Handhayani, Teny1 (AUTHOR) tenyh@fti.untar.ac.id, Pawening, Ageng Hadi2 (AUTHOR), Hendryli, Janson1 (AUTHOR)
Publikováno v:
International Journal of Computational Intelligence & Applications. Jun2023, Vol. 22 Issue 2, p1-12. 12p.
Autor:
Handhayani, Teny, Wasito, Ito
Publikováno v:
2014 International Conference on Advanced Computer Science & Information System; 2014, p450-453, 4p
Autor:
Handhayani, Teny, Hiryanto, Lely
Publikováno v:
Procedia Computer Science; 2015, Vol. 59, p171-177, 7p
Publikováno v:
2013 International Conference on Advanced Computer Science & Information Systems (ICACSIS); 2013, p303-308, 6p
Publikováno v:
2013 International Conference on Advanced Computer Science & Information Systems (ICACSIS); 2013, p185-188, 4p