该文对用于回归估计的标准支持向量机(SVM)加以改进，提出了一种新的用于回归估计的支持向量机学习算法。

Based on the traditional support vector machine (SVM) for regression, a new learning algorithm of the improved SVM for regression is presented in this paper.

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支持向量机（SVM）是根据统计理论提出的一种新的学习算法。

The support vector machine(SVM) is a new learning technique based on the statistical learning theory.

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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。

The basic statistical learning theory (SLT) and its corresponding algorithms, support vector machines (SVMs), are surveyed, and especially, its latest research results are summarized and studied.

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