Timeline for Machine Learning Methods commonly used when data are scarse
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| May 4 at 21:15 | comment | added | Ggjj11 | I agree with most! Only a minor point: data augmentation can be harmful. Only in the setting of multi objective optimization (like optimizing e.g. recall of multiple classes etc.) data augmentation is a very indirect way of changing the tradeoffs | |
| Dec 11, 2022 at 16:09 | history | edited | Snehal Patel | CC BY-SA 4.0 |
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| Dec 11, 2022 at 14:45 | history | edited | Snehal Patel | CC BY-SA 4.0 |
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| Dec 11, 2022 at 14:39 | history | edited | Snehal Patel | CC BY-SA 4.0 |
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| Dec 11, 2022 at 14:27 | history | edited | Snehal Patel | CC BY-SA 4.0 |
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| Dec 11, 2022 at 14:22 | history | answered | Snehal Patel | CC BY-SA 4.0 |