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Tensor informally refers in machine learning to two different concepts that organize and represent data. Data may be organized in a multidimensional array (M-way array) that is informally referred to as a "data tensor"; however in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector space. Observations, such as images, movies, volumes, sounds, and relationships among words and concepts, stored in an M-way array ("data tensor") may be analyzed either by artificial neural networks or tensor methods.
References
- 1 2 "Tamara G Kolda". awards.acm.org.
- 1 2 Camacho-Lopez, Tara (23 June 2015). "Sandian Named Fellow of the Society for Industrial and Applied Mathematics". Sandia Energy.
- ↑ "SC16 Invited Talk Spotlight: Dr. Tamara G. Kolda Presents "Parallel Multiway Methods for Compression of Massive Data and Other Applications"". SuperComputing16. 29 September 2016. Retrieved 15 October 2017.
- ↑ "Q&A: Tamara Kolda on SIAM Journal Macro Update". SIAM News. 21 March 2016.
- ↑ "Tamara G. Kolda - CV" (PDF).
- ↑ "Tamara G Kolda". awards.acm.org.
- ↑ "SIAM Fellows Class of 2015". fellows.siam.org.
- ↑ "National Academy of Engineering Elects 86 Members and 18 International Members". National Academy of Engineering. February 6, 2020. Retrieved 2020-10-08.
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