Zobrazeno 1 - 10
of 1 516
pro vyhledávání: '"transitional learning"'
Autor:
Baccay, Jamelle R.1 0319-3233@lspu.edu.ph, Versano, Dolores D.1
Publikováno v:
International Journal of Multidisciplinary: Applied Business & Education Research. Jun2023, Vol. 4 Issue 6, p1943-1954. 12p.
Being extremely dependent on iterative estimation of the degradation prior or optimization of the model from scratch, the existing blind super-resolution (SR) methods are generally time-consuming and less effective, as the estimation of degradation p
Externí odkaz:
http://arxiv.org/abs/2103.15290
A fundamental challenge for sequential recommenders is to capture the sequential patterns of users toward modeling how users transit among items. In many practical scenarios, however, there are a great number of cold-start users with only minimal log
Externí odkaz:
http://arxiv.org/abs/2107.06427
Akademický článek
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Autor:
Fougner, Amelie (AUTHOR) Amelie.Fougner@sam.hio.no
Publikováno v:
Social Work Education. Apr2012, Vol. 31 Issue 3, p287-301. 15p. 7 Charts.
Autor:
Guoan Wang, Xingjun Wang
Publikováno v:
2022 5th International Conference on Data Science and Information Technology (DSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56447a40c4d29ee872d44d4b3b5312c1
https://doi.org/10.1109/dsit55514.2022.9943897
https://doi.org/10.1109/dsit55514.2022.9943897
Publikováno v:
Adult Education Quarterly. Aug2004, Vol. 54 Issue 4, p291-307. 17p.
Autor:
Jejčič, Petra
Publikováno v:
Studies in Adult Education & Learning / Andragoška Spoznanja; 2015, Vol. 3, p39-50, 12p
Publikováno v:
SIGIR
A fundamental challenge for sequential recommenders is to capture the sequential patterns of users toward modeling how users transit among items. In many practical scenarios, however, there are a great number of cold-start users with only minimal log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174b49682e9bc93120018fe484d5f7f9
http://arxiv.org/abs/2107.06427
http://arxiv.org/abs/2107.06427