Learning from the past with experiment databases

About this item

Title

Learning from the past with experiment databases

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Thousands of Machine Learning research papers contain experimental comparisons that usually have been conducted with a single focus of interest, and detailed results are usually lost after publication. Once past experiments are collected in experiment databases they allow for additional and possibly much broader investigation. In this paper, we show how to use such a repository to answer various interesting research questions about learning algorithms and to verify a number of recent studies....

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Format

Research paper

Research format

Working or discussion paper

Date created

2008-06-24

Creator

Vanschoren, Joaquin / Pfahringer, Bernhard / Holmes, Geoffrey

URL

https://hdl.handle.net/10289/970

Related subjects

computer science / Machine learning

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