Timeline for SVM prediction time increase with number of test cases
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 10, 2016 at 10:36 | vote | accept | Leela Prabhu | ||
| Mar 8, 2016 at 16:27 | comment | added | Emre | That's a good question. The answer is yes, but for details I'll defer details to this paper: Sparseness of Support Vector Machines—Some Asymptotically Sharp Bounds. | |
| Mar 8, 2016 at 14:03 | comment | added | Leela Prabhu | Thank you! Yes, an increase in support vectors would give more prediction time. However is there a relation between number of support vectors and size of training dataset? | |
| Mar 6, 2016 at 19:15 | history | answered | Emre | CC BY-SA 3.0 |