8 - 4 - Weighted Classification (16-54)
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11 - 1 - Linear Models for Binary Classification (21-35)
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13 Jacobian
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29 谱聚类1
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9 - 4 - Linear Regression for Binary Classification (11-23)
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42 Boosting2
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31 Computational Methods1
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18 最大似然估计方法
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6 条件期望
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34 Kernel FDA
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25 spectral clustering
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32 Computational Methods2
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14 主元分析
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37 Naive Bayes方法
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17 概率PCA
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10 核定义
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15 Wishart 分布
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1 基本概念
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7 多项式分布
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27 Matr-x Completion
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16 期望最大算法
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9 渐近性质
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15 - 3 - Leave-One-Out Cross Validation (16-06)
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23 KL distance
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26 K-means algorithm
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38 Support Vector Machines1
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39 Support Vector Machines2
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13 核主元分析
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15 主坐标分析
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41 Markov Chain Monte carlo2
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14 - 2 - Weight Decay Regularization (24-08)
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35 Linear classification1
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12 - 1 - Quadratic Hypothesis (23-47)
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6 - 4 - A Pictorial Proof (16-01)
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12 正定核应用
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33 Fisher Discriminant Analysis
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31 概率不等式
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24 次导数
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8 - 3 - Algorithmic Error Measure (13-46)
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05 高斯分布例子
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6 - 2 - Bounding Function- Basic Cases (06-56)