An ensemble-based method for linear feature extraction for two-class problems.
Research output: Contribution to journal › Article › peer-review
Standard Standard
An ensemble-based method for linear feature extraction for two-class problems. / Masip, D.; Kuncheva, L.I.; Vitria, J.
In: Pattern Analysis and Applications, Vol. 8, No. 3, 01.12.2005, p. 227-237.
In: Pattern Analysis and Applications, Vol. 8, No. 3, 01.12.2005, p. 227-237.
Research output: Contribution to journal › Article › peer-review
HarvardHarvard
Masip, D, Kuncheva, LI & Vitria, J 2005, 'An ensemble-based method for linear feature extraction for two-class problems.', Pattern Analysis and Applications, vol. 8, no. 3, pp. 227-237. https://doi.org/10.1007/s10044-005-0002-x
APA
Masip, D., Kuncheva, L. I., & Vitria, J. (2005). An ensemble-based method for linear feature extraction for two-class problems. Pattern Analysis and Applications, 8(3), 227-237. https://doi.org/10.1007/s10044-005-0002-x
CBE
Masip D, Kuncheva LI, Vitria J. 2005. An ensemble-based method for linear feature extraction for two-class problems. Pattern Analysis and Applications. 8(3):227-237. https://doi.org/10.1007/s10044-005-0002-x
MLA
Masip, D., L.I. Kuncheva and J. Vitria. "An ensemble-based method for linear feature extraction for two-class problems.". Pattern Analysis and Applications. 2005, 8(3). 227-237. https://doi.org/10.1007/s10044-005-0002-x
VancouverVancouver
Masip D, Kuncheva LI, Vitria J. An ensemble-based method for linear feature extraction for two-class problems. Pattern Analysis and Applications. 2005 Dec 1;8(3):227-237. doi: 10.1007/s10044-005-0002-x
Author
RIS
TY - JOUR
T1 - An ensemble-based method for linear feature extraction for two-class problems.
AU - Masip, D.
AU - Kuncheva, L.I.
AU - Vitria, J.
PY - 2005/12/1
Y1 - 2005/12/1
KW - COMPUTER SCIENCE
KW - ARTIFICIAL INTELLIGENCE
U2 - 10.1007/s10044-005-0002-x
DO - 10.1007/s10044-005-0002-x
M3 - Article
VL - 8
SP - 227
EP - 237
JO - Pattern Analysis and Applications
JF - Pattern Analysis and Applications
SN - 1433-7541
IS - 3
ER -