Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data-Reference-Cited by-同舟云学术

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Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data

Published:2020-01-14 Issue:2 Volume:63 Page:147-159
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Gahrooei Mostafa Reisi¹,Yan Hao²,Paynabar Kamran³,Shi Jianjun³

Affiliation:

1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL

2. School of Computing, Informatics, & Decision Systems Engineering, Arizona State University, Tempe, AZ

3. H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, GA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2019.1708463

Reference36 articles.

1. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

2. Experimental Teleradiology. Novel Telematics Services Using Image Processing, Hypermedia and Remote Cooperation to Improve Image-Based Medical Decision Making

3. Multiway calibration. Multilinear PLS

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