Standard
Fast evolutionary maximum margin clustering. / Gieseke, Fabian; Pahikkala, Tapio; Kramer, Oliver.
Proceedings of the 26th Annual International Conference on Machine Learning. 2009. p. 361-368.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Gieseke, F, Pahikkala, T & Kramer, O 2009,
Fast evolutionary maximum margin clustering. in
Proceedings of the 26th Annual International Conference on Machine Learning. pp. 361-368, 26th Annual International Conference on Machine Learning, Montreal, Canada,
14/06/2009.
https://doi.org/10.1145/1553374.1553421
APA
Gieseke, F., Pahikkala, T., & Kramer, O. (2009).
Fast evolutionary maximum margin clustering. In
Proceedings of the 26th Annual International Conference on Machine Learning (pp. 361-368)
https://doi.org/10.1145/1553374.1553421
Vancouver
Gieseke F, Pahikkala T, Kramer O.
Fast evolutionary maximum margin clustering. In Proceedings of the 26th Annual International Conference on Machine Learning. 2009. p. 361-368
https://doi.org/10.1145/1553374.1553421
Author
Gieseke, Fabian ; Pahikkala, Tapio ; Kramer, Oliver. / Fast evolutionary maximum margin clustering. Proceedings of the 26th Annual International Conference on Machine Learning. 2009. pp. 361-368
Bibtex
@inproceedings{1f5ff70f21894e01b9d2bd4ad2a17277,
title = "Fast evolutionary maximum margin clustering",
author = "Fabian Gieseke and Tapio Pahikkala and Oliver Kramer",
year = "2009",
doi = "10.1145/1553374.1553421",
language = "English",
isbn = "978-1-60558-516-1",
pages = "361--368",
booktitle = "Proceedings of the 26th Annual International Conference on Machine Learning",
note = "null ; Conference date: 14-06-2009 Through 18-06-2009",
}
RIS
TY - GEN
T1 - Fast evolutionary maximum margin clustering
AU - Gieseke, Fabian
AU - Pahikkala, Tapio
AU - Kramer, Oliver
N1 - Conference code: 26
PY - 2009
Y1 - 2009
U2 - 10.1145/1553374.1553421
DO - 10.1145/1553374.1553421
M3 - Article in proceedings
SN - 978-1-60558-516-1
SP - 361
EP - 368
BT - Proceedings of the 26th Annual International Conference on Machine Learning
Y2 - 14 June 2009 through 18 June 2009
ER -