On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling
Generalisation error estimation is an important issue in machine learning. Cross-validation traditionally used for this purpose requires building multiple models and repeating the whole procedure many times in order to produce reliable error estimates. It is however possible to accurately estimate t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2011-07-01
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Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/13/7/1229/ |