Characteristics for choice of models in the ansables classification-Reference-Cited by-同舟云学术

Characteristics for choice of models in the ansables classification

Published:2018 Issue:2-3 Volume: Page:171-179
ISSN:1727-4907
Container-title:PROBLEMS IN PROGRAMMING
language:
Short-container-title:PP

Author:

Barmak O.V.^ORCID, ,Krak Yu.V.^ORCID,Manziuk E.A.^ORCID, ,

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)

Reference6 articles.

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3. 3. Hsu C-H., Shi X., Salapura V. (2014) 11th IFIP International Conference on Network and Parallel Computing (NPC), 18-20 September 2014. Ilan, Taiwan. Springer. LNCS-8707. P. 333-346, 2014. Network and Parallel Computing.

4. Diversity techniques improve the performance of the best imbalance learning ensembles;Diez-Pastor;Information Sciences 325,2015

5. 5. Löfström T. (2015) On Effectively Creating Ensembles of Classifiers: Studies on Creation Strategies, Diversity and Predicting with Confidence. A Thesis Submitted in partial fulfilment of the Requirements of Stockholm University for the Degree of Doctor of Philosophy. Stoke-on-Trent: Stockholm University.

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