Using diversity measures for generating error-correcting output codes in classifier ensembles

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Using diversity measures for generating error-correcting output codes in classifier ensembles. / Kuncheva, L.I.
In: Pattern Recognition Letters, Vol. 26, No. 1, 01.01.2005, p. 83-90.

Research output: Contribution to journalArticlepeer-review

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Kuncheva LI. Using diversity measures for generating error-correcting output codes in classifier ensembles. Pattern Recognition Letters. 2005 Jan 1;26(1):83-90. doi: 10.1016/j.patrec.2004.08.019

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RIS

TY - JOUR

T1 - Using diversity measures for generating error-correcting output codes in classifier ensembles

AU - Kuncheva, L.I.

PY - 2005/1/1

Y1 - 2005/1/1

KW - COMPUTER SCIENCE

KW - ARTIFICIAL INTELLIGENCE

U2 - 10.1016/j.patrec.2004.08.019

DO - 10.1016/j.patrec.2004.08.019

M3 - Article

VL - 26

SP - 83

EP - 90

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

IS - 1

ER -