12 概率变换
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01 概率基础
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27 概率不等式1
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31 概率不等式
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12 正定核应用
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1 基本概念
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17 概率PCA
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29 概率不等式3
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37 Naive Bayes方法
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18 最大似然估计方法
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20 MDS方法
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16 期望最大算法
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29 谱聚类1
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10 核定义
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16 - 3 - Data Snooping (12-28)
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40 SVM
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12 - 1 - Quadratic Hypothesis (23-47)
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42 Boosting2
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11 正定核性质
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34 Kernel FDA
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41 Boosting1
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25 spectral clustering
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06 连续分布
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28 Fisher判别分析
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15 主坐标分析
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19 EM算法收敛性
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9 渐近性质
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6 条件期望
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21 MDS中加点方法
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31 Computational Methods1
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27 Matr-x Completion
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13 核主元分析
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12 - 4 - Structured Hypothesis Sets (09-36)
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26 K-means algorithm
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35 Linear classification1
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9 - 4 - Linear Regression for Binary Classification (11-23)
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14 - 1 - Regularized Hypothesis Set (19-16)
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9 - 3 - Generalization Issue (20-34)
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12 - 2 - Nonlinear Transform (09-52)
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39 Support Vector Machines2
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13 Jacobian