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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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Classification may refer to:
Library classification
Taxonomic classification (see Taxonomy)
Biological classification of organisms
Medical classification
Scientific classification (disambiguation)
Classification (literature)
Supe
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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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一本很好的统计学习的参考书,很适合初学者
-This is a good reference of statistical learning, and it is very suitable for beginners!
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