open-discussion
open-discussion > RE: Thresholding
Jan 13, 2022 09:01 PM | Zeus Gracia-Tabuenca - University of Zaragoza
RE: Thresholding
Hi,
There is not a golden rule for thresholding, but for the path-length is reasonable to remove at least the negative distances. My suggestion is to test your sample inferences at least in several sparsity levels to evaluate the robustness of your results. (e.g., from 5-40% of sparsity in steps of 5%).
For more info, this is a good start for the topic: https://youtu.be/MZEQR7gKfNE
Best,
Zeus.
There is not a golden rule for thresholding, but for the path-length is reasonable to remove at least the negative distances. My suggestion is to test your sample inferences at least in several sparsity levels to evaluate the robustness of your results. (e.g., from 5-40% of sparsity in steps of 5%).
For more info, this is a good start for the topic: https://youtu.be/MZEQR7gKfNE
Best,
Zeus.
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| Title | Author | Date |
|---|---|---|
| TANMAYEE SAMANTARAY | Jan 10, 2022 | |
| TANMAYEE SAMANTARAY | Jan 14, 2022 | |
| Zeus Gracia-Tabuenca | Feb 16, 2022 | |
| sdsjh sdhajs | Feb 17, 2022 | |
| Zeus Gracia-Tabuenca | Jan 13, 2022 | |