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协同训练半监督学习二次伪迭代算法
引用本文:黄霜明,谢丽聪.协同训练半监督学习二次伪迭代算法[J].广西师范大学学报(自然科学版),2011,29(3):110-114.
作者姓名:黄霜明  谢丽聪
作者单位:福州大学数学与计算机科学学院,福建福州,350002
基金项目:中科院软件所开放课题基金资助项目(SYSKF0701); 国家自然科学基金资助项目(61070062)
摘    要:在半监督学习训练的过程中,由于分类器对噪声的引入使得分类器性能下降而影响分类准确性,本文提出一种具有自我调节的二次伪迭代算法.该算法延用Tri-training算法的3个分类器思想,在一定条件下引入少量的人工作业,从而避免一些标记难分类而影响训练的进行,并且采用自我调节功能,用于减少在分类过程中出现的噪声数据和降低对分...

关 键 词:协同训练  二次伪迭代  自我调节机制  贡献值  人工作业

Fake-iterative Algorithm for Co-training Semi-supervised Learning
HUANG Shuang-ming,XIE Li-cong.Fake-iterative Algorithm for Co-training Semi-supervised Learning[J].Journal of Guangxi Normal University(Natural Science Edition),2011,29(3):110-114.
Authors:HUANG Shuang-ming  XIE Li-cong
Institution:HUANG Shuang-ming,XIE Li-cong(Institute of Mathematics and Computer Science of Fuzhou University,Fujian Fuzhou 350002,China)
Abstract:In the semi-supervised learning process,the veracity of classification is affected because the classifier introduces the noise data to the training course.This paper proposes a kind of self-regulation and twice fake-iterative algorithm,which still uses the three classifier of tri-training algorithm.A small amount of manual work will be introduced under certain conditions to make the training process going on,thus,to avoid the difficulty in the classification of some labels.The self-regulatory function is al...
Keywords:co-training  twice fake-iterative  self-regulation  contribution  manual work  
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