COPA: Constrained PARAFAC2 for Sparse & Large Datasets

PARAFAC2 has demonstrated success in modeling irregular tensors, where the tensor dimensions vary across one of the modes. An example scenario is modeling treatments across a set of patients with the varying number of medical encounters over time. Despite recent improvements on unconstrained PARAFAC...

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Bibliographic Details

Published in:	Proceedings of the ... ACM International Conference on Information & Knowledge Management Vol. 2018; p. 793
Main Authors:	Afshar, Ardavan, Perros, Ioakeim, Papalexakis, Evangelos E, Searles, Elizabeth, Ho, Joyce, Sun, Jimeng
Format:	Journal Article
Language:	English
Published:	United States 01.10.2018
Subjects:	Tensor Factorization Computational Phenotyping Unsupervised Learning
ISSN:	2155-0751
Online Access:	Get more information
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