15 - 3 - Leave-One-Out Cross Validation (16-06)
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15 - 4 - V-Fold Cross Validation (10-41)
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15 - 1 - Model Selection Problem (16-00)
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16-PCL教程-基础应用-在win10下安装PCL
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6 - 4 - A Pictorial Proof (16-01)
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5 - 2 - Effective Number of Lines (15-26)
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14 - 1 - Regularized Hypothesis Set (19-16)
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8 - 4 - Weighted Classification (16-54)
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6 条件期望
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11 - 4 - Multiclass via Binary Classification (11-35)
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15 - 2 - Validation (13-24)
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16 - 3 - Data Snooping (12-28)
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8 - 2 - Error Measure (15-10)
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11 - 1 - Linear Models for Binary Classification (21-35)
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13 Jacobian
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28 Fisher判别分析
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20-特征-PCL中3D特征如何运行2-Ubuntu和Win10下代码演示
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37 Naive Bayes方法
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19 共轭先验性质
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41 Boosting1
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6 - 2 - Bounding Function- Basic Cases (06-56)
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17 概率PCA
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26 K-means algorithm
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10 - 1 - Logistic Regression Problem (14-33)
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29 谱聚类1
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15-PCL教程-基础应用-使用矩阵变换点云
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14 - 4 - General Regularizers (13-28)
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8 - 1 - Noise and Probabilistic Target (17-01)
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20 MDS方法
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34 Kernel FDA
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42 Boosting2
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10 - 3 - Gradient of Logistic Regression Error (15-38)
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14 主元分析
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12 正定核应用
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【高级机器人动力学 16-715 2022】卡耐基梅隆—中英字幕
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9 - 3 - Generalization Issue (20-34)
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4 - 4 - Connection to Real Learning (18-06)
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13 - 3 - Deterministic Noise (14-07)
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MicroStation V8i 基础培训视频
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7 - 1 - Definition of VC Dimension (13-10)
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13 核主元分析