Streaming method RMSE compared to BS-CP1 and BS-CP2.

Streaming method RMSE compared to BS-CP1 and BS-CP2.

<p>Streaming method RMSE compared to BS-CP1 and BS-CP2.</p>

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Bibliographic Details
Main Author:	Jiaqi Liu (309587) (author)
Other Authors:	Qiwu Wu (20370796) (author), Lingzhi Jiang (20370799) (author), Renjun Zhan (20370802) (author), Xiaochuan Zhao (737365) (author), Husheng Wu (20370805) (author), Weicong Tan (13392510) (author)
Published:	2024
Subjects:	Statistics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified similar trend observed new observation tensor laguerre quadrature method fundamental problem addressed air quality monitoring last two datasets streaming tensor data handle data sparsity cp1 achieve 31 large datasets world scenarios world applications though promising theoretically advantageous recommendation system often sparse numerically stable mainly tackles latent factors fit record first present fast produced evidence proves efficient processing dynamically update computationally challenging comparison methods better results bayesian framework art methods adf ). accurate structure
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Summary:	<p>Streaming method RMSE compared to BS-CP1 and BS-CP2.</p>

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