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Investigating the performance of the SVM-SGU-RBF formulation under different levels of uncertainty

Langen, Jelle (2024) Investigating the performance of the SVM-SGU-RBF formulation under different levels of uncertainty. Bachelor's Thesis, Artificial Intelligence.

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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

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