Title: Learning from the past with experiment databases
Authors: Vanschoren, Joaquin ×
Pfahringer, Bernhard
Holmes, Geoff #
Issue Date: Dec-2008
Host Document: Lecture notes in artificial intelligence vol:5351 pages:485-496
Conference: Pacific Rim International Conference on Artificial Intelligence (PRICAI-08) edition:10 location:Hanoi, Vietnam date:15-19 December 2008
Abstract: 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. Alongside performing elaborate comparisons and rankings of algorithms, we also investigate the effects of algorithm parameters and data properties, and study the learning curves and bias-variance proļ¬les of algorithms to gain deeper insights into their behavior.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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