Timeline for Paramaeter estimation in noisy conditions with Machine Learning, possible?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 12, 2018 at 12:12 | history | edited | ignatius | CC BY-SA 4.0 | added 29 characters in body |
| Dec 12, 2018 at 9:22 | history | edited | ignatius | CC BY-SA 4.0 | added 369 characters in body |
| Dec 11, 2018 at 16:37 | answer | added | Romain Reboulleau | timeline score: 2 | |
| Dec 11, 2018 at 16:12 | comment | added | Romain Reboulleau | OK I think I see what you mean. I will try an answer, let me know what you think. | |
| Dec 11, 2018 at 13:19 | comment | added | ignatius | For example, the simplest way that comes to my mind is to average measurements... but it is not very machine-learning-esque... | |
| Dec 11, 2018 at 13:01 | comment | added | Romain Reboulleau | Can you further explain what you mean by "mitigate the effect of the noise"? Do you want to do some inference or something? | |
| Dec 11, 2018 at 12:38 | history | edited | ignatius | CC BY-SA 4.0 | added 155 characters in body |
| Dec 11, 2018 at 12:29 | history | asked | ignatius | CC BY-SA 4.0 |