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Improving progressive sampling via meta-learning

Title
Improving progressive sampling via meta-learning
Type
Article in International Scientific Journal
Year
2003
Authors
Rui Leite
(Author)
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Pavel Brazdil
(Author)
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Authenticus ID: P-000-KH0
Abstract (EN): We present a method that can be seen as an improvement of standard progressive sampling method. The method exploits information concerning performance of a given algorithm on past datasets, which is used to generate predictions of the stopping point. Experimental evaluation shows that the method can lead to significant time savings without significant losses in accuracy.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 11
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