8 - 2 - Error Measure (15-10)
发布人
打开封面 下载高清视频 观看高清视频 视频下载器
...
10 - 2 - Logistic Regression Error (15-58)
...
10 - 3 - Gradient of Logistic Regression Error (15-38)
...
14 主元分析
...
29 谱聚类1
...
11 - 4 - Multiclass via Binary Classification (11-35)
...
6 条件期望
...
32 Computational Methods2
...
9 - 4 - Linear Regression for Binary Classification (11-23)
...
41 Boosting1
...
15 主坐标分析
...
42 Boosting2
...
14 - 2 - Weight Decay Regularization (24-08)
...
李飞飞：斯坦福计算机视觉公开课
...
31 Computational Methods1
...
7 - 2 - VC Dimension of Perceptrons (13-27)
...
37 Naive Bayes方法
...
15 - 3 - Leave-One-Out Cross Validation (16-06)
...
24 次导数
...
40 SVM
...
13 Jacobian
...
16 期望最大算法
...
5 - 2 - Effective Number of Lines (15-26)
...
23 KL distance
...
27 Matr-x Completion
...
23 矩阵范数
...
04 高斯分布
...
17 概率PCA
...
12 正定核应用
...
19 EM算法收敛性
...
19 共轭先验性质
...
6 - 4 - A Pictorial Proof (16-01)
...
20 MDS方法
...
MicroStation V8i 基础培训视频
...
9 渐近性质
...
13 核主元分析
...
41 Markov Chain Monte carlo2
...
16 - 1 - Occam-'s Razor (10-08)
...
10 核定义
...
14 - 4 - General Regularizers (13-28)
...
38 Support Vector Machines1