16 - 3 - Data Snooping (12-28)
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16-PCL教程-基础应用-在win10下安装PCL
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29 谱聚类1
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15 - 1 - Model Selection Problem (16-00)
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28 Fisher判别分析
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14 - 4 - General Regularizers (13-28)
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32 Computational Methods2
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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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41 Boosting1
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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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16 - 2 - Sampling Bias (11-50)
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14 主元分析
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16 期望最大算法
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2 - 3 - Guarantee of PLA (12-37)
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13 - 2 - The Role of Noise and Data Size (13-36)
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13 Jacobian
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11 - 4 - Multiclass via Binary Classification (11-35)
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17 概率PCA
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16 - 1 - Occam-'s Razor (10-08)
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37 Naive Bayes方法
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8 - 4 - Weighted Classification (16-54)
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02_PCL教程_Getting Started - keypoints, registration和kdtree
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13 核主元分析
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2 - 4 - Non-Separable Data (12-55)
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27 Matr-x Completion
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12 - 3 - Price of Nonlinear Transform (15-37)
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25 spectral clustering
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28 概率不等式2
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31 Computational Methods1
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34 Kernel FDA
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12 概率变换
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12-PCL教程-基础数据结构
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26 K-means algorithm
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15 主坐标分析
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13 - 4 - Dealing with Overfitting (10-49)
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3 - 2 - Learning with Different Data Label (18-12)
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11 - 1 - Linear Models for Binary Classification (21-35)
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13 - 3 - Deterministic Noise (14-07)
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15 - 2 - Validation (13-24)