系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2013年
3期
748~754
,共null页
吕佳 邓乃扬 田英杰 邵元海 杨新民
呂佳 鄧迺颺 田英傑 邵元海 楊新民
려가 산내양 전영걸 소원해 양신민
半监督分类 多类分类机 局部学习 二进制序列 单位圆
半鑑督分類 多類分類機 跼部學習 二進製序列 單位圓
반감독분류 다류분류궤 국부학습 이진제서렬 단위원
semi-supervised classification; multi-class classifier; local learning; binary string; unit disc
半监督多类分类问题是机器学习和模式识别领域中的一个研究热点，目前大多数多类分类算法是将问题分解成若干个二类分类问题来求解．提出两种类标号表示方法来避免多个二类分类问题的求解，一种是单位圆类标号表示方法，一种是二进制序列类标号表示方法，并利用局部学习在二类分类问题中的良好学习特性，提出基于局部学习的半监督多类分类机．实验结果证明采用了基于局部学习的半监督多类分类机错分率更小，稳定性更高．
半鑑督多類分類問題是機器學習和模式識彆領域中的一箇研究熱點，目前大多數多類分類算法是將問題分解成若榦箇二類分類問題來求解．提齣兩種類標號錶示方法來避免多箇二類分類問題的求解，一種是單位圓類標號錶示方法，一種是二進製序列類標號錶示方法，併利用跼部學習在二類分類問題中的良好學習特性，提齣基于跼部學習的半鑑督多類分類機．實驗結果證明採用瞭基于跼部學習的半鑑督多類分類機錯分率更小，穩定性更高．
반감독다류분류문제시궤기학습화모식식별영역중적일개연구열점，목전대다수다류분류산법시장문제분해성약간개이류분류문제래구해．제출량충류표호표시방법래피면다개이류분류문제적구해，일충시단위원류표호표시방법，일충시이진제서렬류표호표시방법，병이용국부학습재이류분류문제중적량호학습특성，제출기우국부학습적반감독다류분류궤．실험결과증명채용료기우국부학습적반감독다류분류궤착분솔경소，은정성경고．
Semi-supervised multi-class classification problem opens research focuses in machine learning and pattern recognition, currently it is decomposed into a set of binary classification problems. Two kinds of class label presentation methods that one was class label presentation method of unit disc and the other was that of binary string were proposed for fear that multiple binary classification problems were solved. Besides, local learning has the good feature in semi-supervised binary classification problem. On the basis of it, local learning semi-supervised multi-class classifier was presented in this paper. The effectiveness of the algorithms was confirmed with experiments on benchmark datasets compared to other related algorithms.
