Dimensionality reduction for the algorithm recommendation problem

Power grid cloud resource status data compression method based on deep-learning

W Liang, Y Zhu, G Li - Recent Advances in Computer Science …, 2021 - ingentaconnect.com
Background: As the" three-type two-net, world-class" strategy is proposed, the key issues to
be addressed are that the number of cloud resources in power grid continues to grow and …
被引用次数：4 相关文章
[PDF] arxiv.org

Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem

GT Pereira, MR Santos, ACPLF de Carvalho - arXiv preprint arXiv …, 2021 - arxiv.org
With the popularity of Machine Learning (ML) solutions, algorithms and data have been
released faster than the capacity of processing them. In this context, the problem of …
被引用次数：1 相关文章
[PDF] arxiv.org

Transfer learning for algorithm recommendation

GT Pereira, M Santos, E Alcobaça, R Mantovani… - arXiv preprint arXiv …, 2019 - arxiv.org
Meta-Learning is a subarea of Machine Learning that aims to take advantage of prior
knowledge to learn faster and with fewer data [1]. There are different scenarios where meta …
被引用次数：2 相关文章
[PDF] researchgate.net

[PDF][PDF] TRANSFER LEARNING FOR ALGORITHM RECOMMENDATION

RGMAC Carvalho - arXiv preprint arXiv:1910.07012, 2019 - researchgate.net
Meta-Learning is a subarea of Machine Learning that aims to take advantage of prior
knowledge to learn faster and with fewer data [1]. There are different scenarios where meta …
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