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pro vyhledávání: '"Lu, Yafeng"'
Publikováno v:
In Heliyon 15 November 2024 10(21)
Autor:
Yang, Weikai, Li, Zhen, Liu, Mengchen, Lu, Yafeng, Cao, Kelei, Maciejewski, Ross, Liu, Shixia
Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccurate. While a variety of automated methods have been developed to identi
Externí odkaz:
http://arxiv.org/abs/2007.14372
One major cause of performance degradation in predictive models is that the test samples are not well covered by the training data. Such not well-represented samples are called OoD samples. In this paper, we propose OoDAnalyzer, a visual analysis app
Externí odkaz:
http://arxiv.org/abs/2002.03103
Data analysts commonly utilize statistics to summarize large datasets. While it is often sufficient to explore only the summary statistics of a dataset (e.g., min/mean/max), Anscombe's Quartet demonstrates how such statistics can be misleading. We co
Externí odkaz:
http://arxiv.org/abs/1911.01527
Publikováno v:
In Ecological Indicators April 2023 148
Publikováno v:
In Ecological Indicators February 2023 146
Akademický článek
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Data analysts commonly utilize statistics to summarize large datasets. While it is often sufficient to explore only the summary statistics of a dataset (e.g., min/mean/max), Anscombe's Quartet demonstrates how such statistics can be misleading. Graph
Externí odkaz:
http://arxiv.org/abs/1808.09913
Autor:
Sun, Yinghao, Ruan, Gechong, Bai, Xiaoyin, Han, Wei, Yang, Minglan, Jin, Lixin, Huang, Yanni, Hou, Xiaoxia, Shu, Ke, Liu, Yingying, Lu, Yafeng, Zhao, Yan, Zhong, Jie, Yang, Hong
Publikováno v:
BMC Gastroenterology; 10/14/2024, Vol. 24 Issue 1, p1-8, 8p
Publikováno v:
Remote Sensing; Oct2024, Vol. 16 Issue 19, p3602, 27p