Timeline for Kernel methods on Categorical Data
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 16, 2014 at 12:48 | comment | added | damith219 | I agree with Marc. The kernel trick, for example uses the kernel itself as an effective classification method without employing any other machine learning technique, if I am correct in understanding it. | |
| Nov 16, 2014 at 10:48 | vote | accept | damith219 | ||
| Nov 16, 2014 at 10:48 | |||||
| Nov 16, 2014 at 10:25 | comment | added | bayerj | Any measure of similarity can be turned into a measure of dissimilarity. E.g. by multiplying with $-1$. | |
| Nov 15, 2014 at 23:17 | comment | added | Mo Chen | You are right. It is just a personal opinion. | |
| Nov 15, 2014 at 23:14 | comment | added | Marc Claesen | Statements like 'kernel methods do not make much sense' are not very useful without at least some justification. Given the vast amount of research being done on this particular topic, it's fair to say many experts disagree. | |
| Nov 15, 2014 at 23:07 | history | answered | Mo Chen | CC BY-SA 3.0 |