Absrtact: SVM (support vector machine) algorithm is the newest branch of statistic learning theory.

摘要：支持向量机(SVM)算法是统计学习理论中最年轻的分支。

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Support vector machine is a new machine learning algorithm, based theoretically on statistic learning theory created by Vapnik.

为了系统地归纳统计学习理论与支持向量机的基本思想和算法，总结目前该领域的最新研究成果。

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Thus, combined with research results of statistic learning theory, the optimal regress model based on least-absolute criteria, or LaOR model was proposed to solve the problem.

为此，结合统计学习理论的研究成果，建立了基于最小一乘准则的最优回归模型，并将其应用于商业银行的信贷风险评估中。

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