Inference for the Generalization Error.
In order to compare learning algorithms, experimental results reported in the machine learning literature often use statistical tests of significance to support the claim that a new learning algorithm generalizes better. Such tests should take into account the variability due to the choice of traini...
| Published in: | Machine learning. 52, 3 (2003). |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Subjects: |