Timeline for Applications of algebraic geometry to machine learning
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Apr 7, 2020 at 10:16 | comment | added | alpx | Thanks. I understand you may not have time under current pandemic, but I think it's not considered appropriate to link a paper without explanation in this forum. It would be great if you could link some papers accompanied with short explanations on how these papers apply the algebraic geometry techniques to data science. You can consider updating your answer with these precise references for instance. Thanks again. | |
| Apr 6, 2020 at 5:18 | comment | added | Piotr Zwiernik | To give you a quick answer I will simply link this highly influential paper in which algebraic varieties are featured already in the abstract: projecteuclid.org/download/pdfview_1/euclid.aos/1351602527 | |
| Apr 5, 2020 at 3:52 | comment | added | alpx | Can you elaborate a bit on how the techniques you cited (Lassarre/Parrilo hierrachy, numerical ag) relates to the data science question above? | |
| S Dec 24, 2017 at 11:04 | history | suggested | Zach H | CC BY-SA 3.0 |
corrected affiliation
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| Dec 24, 2017 at 1:45 | review | Suggested edits | |||
| S Dec 24, 2017 at 11:04 | |||||
| Mar 20, 2016 at 9:33 | review | First posts | |||
| Mar 20, 2016 at 9:36 | |||||
| Mar 20, 2016 at 9:33 | history | answered | Piotr Zwiernik | CC BY-SA 3.0 |