Langen, Jelle (2024) Investigating the performance of the SVM-SGU-RBF formulation under different levels of uncertainty. Bachelor's Thesis, Artificial Intelligence.
|
Text
bAI2024JelleLangen.pdf Restricted to Registered users only Download (5MB) |
Abstract
De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Valdenegro Toro, M.A. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Aug 2024 08:21 |
| Last Modified: | 15 Aug 2024 08:21 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/33967 |
Actions (login required)
![]() |
View Item |
