2 - 3 - Guarantee of PLA (12-37)
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12 - 3 - Price of Nonlinear Transform (15-37)
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12 正定核应用
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12 - 1 - Quadratic Hypothesis (23-47)
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28 Fisher判别分析
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29 谱聚类1
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42 Boosting2
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11 - 1 - Linear Models for Binary Classification (21-35)
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1 基本概念
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15 主坐标分析
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41 Boosting1
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18 最大似然估计方法
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14 主元分析
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2 - 2 - Perceptron Learning Algorithm (PLA) (19-46)
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12 - 2 - Nonlinear Transform (09-52)
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15 - 3 - Leave-One-Out Cross Validation (16-06)
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14 - 1 - Regularized Hypothesis Set (19-16)
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12 概率变换
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34 Kernel FDA
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15 - 2 - Validation (13-24)
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06 连续分布
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6 - 4 - A Pictorial Proof (16-01)
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38 Support Vector Machines1
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25 spectral clustering
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19 共轭先验性质
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7 多项式分布
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13 核主元分析
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17 概率PCA
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05 高斯分布例子
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6 条件期望
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23 KL distance
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16 - 3 - Data Snooping (12-28)
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1 - 1 - Course Introduction (10-58)(1)
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06-PCL教程-基础应用-PCL初识1
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26 K-means algorithm
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11 正定核性质
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12 - 4 - Structured Hypothesis Sets (09-36)
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01 概率基础
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16 期望最大算法
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5 - 2 - Effective Number of Lines (15-26)
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11 - 4 - Multiclass via Binary Classification (11-35)