该文从更基本的优化思想出发，基于概率论提出了一种新的全局优化算法——统计归纳算法(SIA)。
This paper presents a new global optimization algorithm, the statistic inductive algorithm (SIA) based on a more fundamental optimization concept.
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.
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。
Support vector machine is a new machine learning algorithm, based theoretically on statistic learning theory created by Vapnik.
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