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A self-adaptive regularized alternating least squares method for tensor decomposition problems

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Though the alternating least squares algorithm (ALS), as a classic and easily implemented algorithm, has been widely applied to tensor decomposition and approximation problems, it has some drawback... Click to show full abstract

Though the alternating least squares algorithm (ALS), as a classic and easily implemented algorithm, has been widely applied to tensor decomposition and approximation problems, it has some drawback...

Keywords: tensor decomposition; least squares; self adaptive; alternating least; adaptive regularized

Journal Title: Analysis and Applications
Year Published: 2019

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