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中文摘要：
1 引言线性分类器是指:给定训练数据(xi,yi),i=1,…,l,yi∈{-1,1),xi∈Rn,求出ω∈Rn(权重)和γ∈R(阈值),使得当yi=1时,有ωTxi≥γ;yi=-1时,有ωTxi<γ．我们考虑下述几类监督学习中的模型问题,如见[1][2][3]． 1．支持向量机(SVM)及对偶(MSVMD)问题分别为
英文摘要：
This paper presents optimality conditions for several linear models in supervised learning problems. Relationships between solutions of different models are analyzed and two bounds of differences between two solutions belonging, respectively, to every two different models are given. Some results of numerical experiments are reported.
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