Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 45 (2005) no. 7, pp. 1321-1328
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A collective solution method in pattern recognition based on the simultaneous improvement of the stability and efficiency (the percentage of correctly classified objects in the learning sample) is generalized. The relationship between the procedure described in the paper and several available methods for constructing collective algorithms that are particular cases of a more general approach is revealed. The practical value of the method is confirmed by solving some well-known classification problems.
@article{ZVMMF_2005_45_7_a14,
author = {D. P. Vetrov and D. A. Kropotov},
title = {Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability},
journal = {\v{Z}urnal vy\v{c}islitelʹnoj matematiki i matemati\v{c}eskoj fiziki},
pages = {1321--1328},
publisher = {mathdoc},
volume = {45},
number = {7},
year = {2005},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/ZVMMF_2005_45_7_a14/}
}
TY - JOUR AU - D. P. Vetrov AU - D. A. Kropotov TI - Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability JO - Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki PY - 2005 SP - 1321 EP - 1328 VL - 45 IS - 7 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ZVMMF_2005_45_7_a14/ LA - ru ID - ZVMMF_2005_45_7_a14 ER -
%0 Journal Article %A D. P. Vetrov %A D. A. Kropotov %T Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability %J Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki %D 2005 %P 1321-1328 %V 45 %N 7 %I mathdoc %U http://geodesic.mathdoc.fr/item/ZVMMF_2005_45_7_a14/ %G ru %F ZVMMF_2005_45_7_a14
D. P. Vetrov; D. A. Kropotov. Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability. Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 45 (2005) no. 7, pp. 1321-1328. http://geodesic.mathdoc.fr/item/ZVMMF_2005_45_7_a14/