Scalable tensor factorizations for incomplete data

Evrim Acar, Daniel Dunlavy, Tamara G. Kolda, Morten Mørup

Type: Article

Publication Date: 2010-08-13

Citations: 580

DOI: https://doi.org/10.1016/j.chemolab.2010.08.004

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arXiv (Cornell University) - View - PDF
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Chemometrics and Intelligent Laboratory Systems - View

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+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang
+	Dealing with missing data: Part II	2001	Beata Walczak D.L. Massart
+	A weighted non-negative least squares algorithm for three-way ‘PARAFAC’ factor analysis	1997	Pentti Paatero
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin
+	Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics	1977	Joseph B. Kruskal
+	Lower Rank Approximation of Matrices by Least Squares With Any Choice of Weights	1979	K. Ruben Gabriel Shmuel Zamir
+	A scalable optimization approach for fitting canonical tensor decompositions	2011	Evrim Acar Daniel Dunlavy Tamara G. Kolda
+ PDF Chat	Line search algorithms with guaranteed sufficient decrease	1994	Jorge J. Morè David J. Thuente