Experiment databases

Volume: 87, Issue: 2, Pages: 127 - 158
Published: May 1, 2012
Abstract
Thousands of machine learning research papers contain extensive experimental comparisons. However, the details of those experiments are often lost after publication, making it impossible to reuse these experiments in further research, or reproduce them to verify the claims made. In this paper, we present a collaboration framework designed to easily share machine learning experiments with the community, and automatically organize them in public...
Paper Fields
Paper Details
Title
Experiment databases
Published Date
May 1, 2012
Volume
87
Issue
2
Pages
127 - 158
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