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...

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Bibliographic Details
Main Authors: Katarzyna Musial, Bogdan Gabrys, Marcin Budka
Format: Article
Language:English
Published: MDPI AG 2011-07-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/13/7/1229/