Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mike Huisman"'
Publikováno v:
Machine Learning. 111:3227-3244
Meta-learning can be used to learn a good prior that facilitates quick learning; two popular approaches are MAML and the meta-learner LSTM. These two methods represent important and different approaches in meta-learning. In this work, we study the tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f09cc43635e635941939186ebc5ac16
https://doi.org/10.1007/s10994-022-06210-y
https://doi.org/10.1007/s10994-022-06210-y
Publikováno v:
Artificial Intelligence Review, 54(6), 4483-4541
ARTIFICIAL INTELLIGENCE REVIEW, 54(6), 4483-4541. SPRINGER
ARTIFICIAL INTELLIGENCE REVIEW, 54(6), 4483-4541. SPRINGER
Deep neural networks can achieve great successes when presented with large data sets and sufficient computational resources. However, their ability to learn new concepts quickly is limited. Meta-learning is one approach to address this issue, by enab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab8a76fe10773b9b7006cbc11189a8a
http://arxiv.org/abs/2010.03522
http://arxiv.org/abs/2010.03522
Autor:
Gharoun, Hassan1 (AUTHOR) hassan.gharoun@student.uts.edu.au, Momenifar, Fereshteh2 (AUTHOR) 22046851@student.westernsydney.edu.au, Chen, Fang1 (AUTHOR) fang.chen@uts.edu.au, Gandomi, Amir3 (AUTHOR) gandomi@uts.edu.au
Publikováno v:
ACM Computing Surveys. Dec2024, Vol. 56 Issue 12, p1-41. 41p.
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-24, 24p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-25, 25p
Publikováno v:
Machine Learning; Feb2024, Vol. 113 Issue 2, p725-752, 28p
Publikováno v:
Machine Learning; Nov2023, Vol. 112 Issue 11, p4635-4662, 28p
Publikováno v:
Artificial Intelligence Review; Sep2023, Vol. 56 Issue 9, p9541-9573, 33p
Publikováno v:
ACM Transactions on Information Systems; Jul2023, Vol. 41 Issue 3, p1-26, 26p
Publikováno v:
Global Banking News (GBN). 03/27/2020.