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统计学习的详细理论，包含支持向量机的详细介绍，理论全面。-Detailed statistical learning theory, including the detailed descr iption of support vector machines, theory-round.
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支持向量机 支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力-Support vector machine Support vector machine is Jianli statistical learning theory of VC dimension theory and structural risk minim
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此文章是介绍支持向量机的经典书籍，对使用支持向量机的同行们很有帮助-This article is to introduce the support vector machine classic books on the use of support vector machines helpful colleagues
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本书介绍的支持向量机方法，是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力 。-This book introduces the support vector machine method is based on statistical learning theory, VC dimension and structural risk mi
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经典的统计学习理论书籍,详细讲解了关于统计学习的理论。-This a classic book about the statistical learning theory
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Support Vector Machine (and Statistical Learning Theory) Tutorial by Jason Weston
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本书是关于语音活动检测新方法的期刊，文中提出了统计学习理论-This book is about a new voice activity detection method of journals, this paper put forward the statistical learning theory
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The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in
which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used i
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In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to ta
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