摘要
基于MultiBoost分类组装技术,提出了一种用增量交叉验证技术求MultiBoost最小分类误差的算法,以使之在指定分类器数量T的范围内找出具有最小分类误差的合成分类器.
Based on MultiBoost-a classification ensemble algorithm, this paper promotes the algorithm that can obtain the minimum classification error of MultiBoost by increment cross-validity so that under the specified size T of MultiBoost ensemble, it can find out the composite classifier with the minimum classification error.
出处
《小型微型计算机系统》
CSCD
北大核心
2005年第11期1948-1950,共3页
Journal of Chinese Computer Systems
基金
国家"八六三"计划资助
