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Learning to predict the quality of classifiers

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)
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: http://fse.studenttheses.ub.rug.nl/id/eprint/8770

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