Timeline for Why does SVM considered as discriminative model?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 9, 2022 at 8:20 | vote | accept | Benny K | ||
| Jan 9, 2022 at 8:08 | comment | added | technik | According to Jebara, Tony (2004). Machine Learning: Discriminative and Generative: Even if a classification does not use any probability it is still discriminative. But still: Franc et al. (icml.cc/Conferences/2011/papers/386_icmlpaper.pdf) can show that SVM are a Probabilistic Model with conditional probabilities which meets your definition of Bishop and the general one as well. | |
| Jan 8, 2022 at 22:26 | comment | added | Benny K | Well, according to Bishop's PRML (p 43 microsoft.com/en-us/research/uploads/prod/2006/01/… ) "Approaches that model the posterior probabilities directly are called discriminative models.", this is why I am confused | |
| Jan 7, 2022 at 19:30 | history | answered | technik | CC BY-SA 4.0 |