Article ID Journal Published Year Pages File Type
10320265 Artificial Intelligence 2010 23 Pages PDF
Abstract
We show that our models, besides performing accurate predictions, can help in the analysis and comparison of different algorithms and/or algorithms with different parameters setting. We illustrate this via the automatic construction of a taxonomy for the stochastic program-induction algorithms considered in this study. The taxonomy reveals important features of these algorithms from the performance point of view, which are not detected by ordinary experimentation.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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