Standard
Analysis of diversity methods for evolutionary multi-objective ensemble classifiers. / Oehmcke, Stefan; Heinermann, Justin; Kramer, Oliver.
Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. red. / Giovanni Squillero; Antonio M. Mora. Springer Verlag, 2015. s. 567-578 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 9028).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Oehmcke, S, Heinermann, J & Kramer, O 2015,
Analysis of diversity methods for evolutionary multi-objective ensemble classifiers. i G Squillero & AM Mora (red),
Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. Springer Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 9028, s. 567-578, 18th European Conference on the Applications of Evolutionary Computation, EvoApplications 2015, Copenhagen, Danmark,
08/04/2015.
https://doi.org/10.1007/978-3-319-16549-3_46
APA
Oehmcke, S., Heinermann, J., & Kramer, O. (2015).
Analysis of diversity methods for evolutionary multi-objective ensemble classifiers. I G. Squillero, & A. M. Mora (red.),
Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings (s. 567-578). Springer Verlag,. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 9028
https://doi.org/10.1007/978-3-319-16549-3_46
Vancouver
Oehmcke S, Heinermann J, Kramer O.
Analysis of diversity methods for evolutionary multi-objective ensemble classifiers. I Squillero G, Mora AM, red., Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. Springer Verlag,. 2015. s. 567-578. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 9028).
https://doi.org/10.1007/978-3-319-16549-3_46
Author
Oehmcke, Stefan ; Heinermann, Justin ; Kramer, Oliver. / Analysis of diversity methods for evolutionary multi-objective ensemble classifiers. Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. red. / Giovanni Squillero ; Antonio M. Mora. Springer Verlag, 2015. s. 567-578 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 9028).
Bibtex
@inproceedings{0ac9d17da2a94d54be103493cfe99f06,
title = "Analysis of diversity methods for evolutionary multi-objective ensemble classifiers",
abstract = "Ensemble classifiers are strong and robust methods for classification and regression tasks. Considering the balance between runtime and classifier accuracy the learning problem becomes a multi-objective optimization problem. In this work, we propose an evolutionary multiobjective algorithm based on non-dominated sorting that balances runtime and accuracy properties of nearest neighbor classifier ensembles and decision tree ensembles. We identify relevant ensemble parameters with a significant impact on the accuracy and runtime. In the experimental part of this paper, we analyze the behavior on typical classification benchmark problems.",
keywords = "Ensemble classification, Multi-objective optimization",
author = "Stefan Oehmcke and Justin Heinermann and Oliver Kramer",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-16549-3_46",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag,",
pages = "567--578",
editor = "Giovanni Squillero and Mora, {Antonio M.}",
booktitle = "Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings",
note = "18th European Conference on the Applications of Evolutionary Computation, EvoApplications 2015 ; Conference date: 08-04-2015 Through 10-04-2015",
}
RIS
TY - GEN
T1 - Analysis of diversity methods for evolutionary multi-objective ensemble classifiers
AU - Oehmcke, Stefan
AU - Heinermann, Justin
AU - Kramer, Oliver
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Ensemble classifiers are strong and robust methods for classification and regression tasks. Considering the balance between runtime and classifier accuracy the learning problem becomes a multi-objective optimization problem. In this work, we propose an evolutionary multiobjective algorithm based on non-dominated sorting that balances runtime and accuracy properties of nearest neighbor classifier ensembles and decision tree ensembles. We identify relevant ensemble parameters with a significant impact on the accuracy and runtime. In the experimental part of this paper, we analyze the behavior on typical classification benchmark problems.
AB - Ensemble classifiers are strong and robust methods for classification and regression tasks. Considering the balance between runtime and classifier accuracy the learning problem becomes a multi-objective optimization problem. In this work, we propose an evolutionary multiobjective algorithm based on non-dominated sorting that balances runtime and accuracy properties of nearest neighbor classifier ensembles and decision tree ensembles. We identify relevant ensemble parameters with a significant impact on the accuracy and runtime. In the experimental part of this paper, we analyze the behavior on typical classification benchmark problems.
KW - Ensemble classification
KW - Multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=84925873898&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-16549-3_46
DO - 10.1007/978-3-319-16549-3_46
M3 - Article in proceedings
AN - SCOPUS:84925873898
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 567
EP - 578
BT - Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings
A2 - Squillero, Giovanni
A2 - Mora, Antonio M.
PB - Springer Verlag,
T2 - 18th European Conference on the Applications of Evolutionary Computation, EvoApplications 2015
Y2 - 8 April 2015 through 10 April 2015
ER -
