MxML (Exploring the paradigmatic relationship between measurement and machine learning in the history, current time, and future): Current state of the field

Yi Zheng; Steven Nydick; Sijia Huang; Susu Zhang

doi:10.35542/osf.io/n9reh

MxML (Exploring the paradigmatic relationship between measurement and machine learning in the history, current time, and future): Current state of the field

Yi Zheng, Steven Nydick, Sijia Huang, Susu Zhang

Research output: Other contribution

Original language	Undefined
DOIs	https://doi.org/10.35542/osf.io/n9reh
State	Published - Apr 22 2023

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title = "MxML (Exploring the paradigmatic relationship between measurement and machine learning in the history, current time, and future): Current state of the field",

author = "Yi Zheng and Steven Nydick and Sijia Huang and Susu Zhang",

year = "2023",

month = apr,

day = "22",

doi = "10.35542/osf.io/n9reh",

language = "Undefined",

type = "Other",

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T1 - MxML (Exploring the paradigmatic relationship between measurement and machine learning in the history, current time, and future): Current state of the field

AU - Zheng, Yi

AU - Nydick, Steven

AU - Huang, Sijia

AU - Zhang, Susu

PY - 2023/4/22

Y1 - 2023/4/22

UR - https://doi.org/10.35542/osf.io/n9reh

U2 - 10.35542/osf.io/n9reh

DO - 10.35542/osf.io/n9reh

M3 - Other contribution

ER -

MxML (Exploring the paradigmatic relationship between measurement and machine learning in the history, current time, and future): Current state of the field

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