Orthogonal inductive matrix completion

Orthogonal inductive matrix completion

We propose orthogonal inductive matrix completion (OMIC), an interpretable approach to matrix completion based on a sum of multiple orthonormal side information terms, together with nuclear-norm regularization. The approach allows us to inject prior knowledge about the singular vectors of the ground...

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書目詳細資料
Main Authors:	LEDENT, Antoine, ALVES, Rrodrigo, KLOFT, Marius
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2021
主題:	Optimization Recommender systems Training Social networking (online) Predictive models Learning systems Machine learning recommender systems statistical learning Artificial Intelligence and Robotics
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/7197 https://ink.library.smu.edu.sg/context/sis_research/article/8200/viewcontent/2004.01653.pdf
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