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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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一种统计语言R的学习资料，教你如何写R程序包-A statistical language R, learning materials, teach you how to write the R package
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.细胞处理计数
基于VC的细胞识别统计系统源代码，灰度和彩色图像处理的典型案例，学习VC数字图像处理的一个很好的方法 。-Cell processing count
VC based cell identification statistical system source code, gray and color image processing of a typical case, learning VC digital image processing a good method.
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统计学习应用的介绍，用r语言编程，对统计问题的学习-Introduction Statistical learning applications, with the r language programming, statistical learning problem
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Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly pe
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