Zobrazeno 1 - 10
of 16
pro vyhledávání: '"lifecycle transferring"'
Publikováno v:
IEEE Access, Vol 11, Pp 73823-73838 (2023)
Developing an end-to-end machine learning (ML) lifecycle for an ML task can be costly and time-consuming. It involves exploring multiple configurations of ML pipelines, encompassing data preparation, ML model design, training, and deployment. While a
Externí odkaz:
https://doaj.org/article/8a34ebb1431b44189f0c37aa21ca7278
Akademický článek
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Autor:
Xiao, Hong1 (AUTHOR) xiaohongjxr@xjtu.edu.cn, Duan, Yugang1 (AUTHOR), Zhang, Zhongbo1 (AUTHOR)
Publikováno v:
International Journal of Computer Integrated Manufacturing. January 2018, Vol. 31 Issue 1, p11-26. 16p.
Publikováno v:
IEEE Access, vol. 11, pp. 73823-73838, 2023
An end-to-end machine learning (ML) lifecycle consists of many iterative processes, from data preparation and ML model design to model training and then deploying the trained model for inference. When building an end-to-end lifecycle for an ML proble
Externí odkaz:
http://arxiv.org/abs/2304.13037
Publikováno v:
Contract Pharma; Dec2018, Vol. 20 Issue 10, p4-176, 85p
Publikováno v:
Contract Pharma; 2016 Corporate Capabilities/Contract Services Directory, Vol. 17, p10-208, 102p
Publikováno v:
Contract Pharma; 2015 Special, p9-208, 200p
Publikováno v:
Contract Pharma; 2021Directory, Vol. 22 Issue 10, p33-33, 1p