Neijt, A.B. (2009) Learning to predict the quality of classifiers. Master's Thesis / Essay, Artificial Intelligence.
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Abstract
Using a large multiple classifier system, per instance classifier subset selection based on a single set of features is investigated. Three approaches are tested on handwritten dataset including MNIST and the "Kabinet der Koningin" datasets.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Degree programme: | Artificial Intelligence |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:29 |
| Last Modified: | 15 Feb 2018 07:29 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8770 |
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