On Accuracy of PDF Divergence Estimators and Their Applicability to Representative Data Sampling

This source preferred by Marcin Budka

Authors: Budka, M., Gabrys, B. and Musial, K.

http://eprints.bournemouth.ac.uk/18405/

http://www.scopus.com/inward/record.url?eid=2-s2.0-80051601039&partnerID=40&md5=eb0375956055b5913ee5170d00a36e58

Journal: Entropy

Volume: 13

Pages: 1229-1266

DOI: 10.3390/e13071229

This data was imported from DBLP:

Authors: Budka, M., Gabrys, B. and Musial, K.

http://eprints.bournemouth.ac.uk/18405/

Journal: Entropy

Volume: 13

Pages: 1229-1266

DOI: 10.3390/e13071229

This data was imported from Scopus:

Authors: Budka, M., Gabrys, B. and Musial, K.

http://eprints.bournemouth.ac.uk/18405/

Journal: Entropy

Volume: 13

Issue: 7

Pages: 1229-1266

eISSN: 1099-4300

DOI: 10.3390/e13071229

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 the error using only a single model, if the training and test data are chosen appropriately. This paper investigates the possibility of using various probability density function divergence measures for the purpose of representative data sampling. As it turned out, the first difficulty one needs to deal with is estimation of the divergence itself. In contrast to other publications on this subject, the experimental results provided in this study show that in many cases it is not possible unless samples consisting of thousands of instances are used. Exhaustive experiments on the divergence guided representative data sampling have been performed using 26 publicly available benchmark datasets and 70 PDF divergence estimators, and their results have been analysed and discussed. © 2011 by the authors; licensee MDPI, Basel, Switzerland.

This data was imported from Web of Science (Lite):

Authors: Budka, M., Gabrys, B. and Musial, K.

http://eprints.bournemouth.ac.uk/18405/

Journal: ENTROPY

Volume: 13

Issue: 7

Pages: 1229-1266

ISSN: 1099-4300

DOI: 10.3390/e13071229

The data on this page was last updated at 04:42 on September 20, 2017.