Note: All times are in Pacific Daylight Time (UTC -7)
| Paper: | D-13.2 |
| Paper Title: |
Probabilistic analysis of the Canonical Polyadic Decomposition (CPD)-based tensor learning |
| Authors: |
Ouafae Karmouda, Jeremie Boulanger, Remy Boyer, CRIStAL Laboratory, university of Lille, France |
| Session: | Models for High-Dimensional Large-Scale Data |
| Location: | Virtual D |
| Presentation Time: | Wednesday, November 2, 08:00 - 09:00 |
| Virtual Presentation: |
Attend on Virtual Platform |
| Presentation: |
Virtual
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| Topic: |
Adaptive Systems, Machine Learning, Data Analytics: Models for High-Dimensional Large-Scale Data |