Representational Transfer Learning for Matrix Completion

We propose to transfer representational knowledge from multiple sources to a target noisy matrix completion task by aggregating singular subspaces information. Under our representational similarity framework, we first integrate linear representation information by solving a two-way principal compone...

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Bibliographische Detailangaben

Hauptverfasser:	He, Yong, Li, Zeyu, Liu, Dong, Qin, Kangxiang, Xie, Jiahui
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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