part of 3.8 More on the Lasso and Related Path Algorithms
& 3.9 Computational Considerations

16.3节提到的post-processing boosting和lasso post processor

In fig. 7.2 of section 7.3, what is the meaning of the red line? the closest fit?
And what is the difference between "closest fit" and "closet fit in population"?
Is estimation bias of the models on the red line zero?

details: section 5.2
Is there an example to support the claim that "terms like this are typically included with other terms in the model."?

to do

TODO: 5.5 Automatic Selection of the Smoothing Parameters

to do

进度

更新于2017.03.13

未完成章节

• chap03: 3.7-3.9;
• chap05: 5.6-5.9;
• chap06: 6.7-6.9;
• chap08: 8.8-8.9;
• chap10: 10.7-10.14;
• chap11: 11.7-11.10;
• chap12: 12.3-12.7;
• chap13: 13.2-13.5;
• chap14: 14.4-14.10;
• chap15: 15.2-15.4;
• chap16: 16.1-16.3;
• chap18: 18.1-18.8;

18.6节中提到的cox‘s proportional hazards regression, 有时间学习一下。

In section 11.7, it claims that "The training set error for all of the networks was 0%, since in all cases there are more parameters than training observations." (page 406)

Why??

when visiting the home page

结合http://ai.stanford.edu/~paskin/gm-short-course/， 完善有关 junction tree algorithm的问题。

如图

Refer to 15.2 Definition of Random Forests for more details.

6.8 Mixture Models for Density Estimation and Classification
& 6.9 Computational Considerations

details: section 15.3

to do

When the resolution ratio becomes smaller, then the size of math formula would exceed the max width of the device, e.g. mobile phone, and this will let this web page ugly.

e.g.

In section 6.9, it used flops to measure the computational cost.

TODO: chap9.1 about IRLS algorithm.

The materials from Prof. Liu have something with BF, and section 7.7 also discusses BF. Try to associate them.

details: section 5.2.3

Todo

TODO: section 8.7.1

页面上无法显示该条评论，但是在disqus后台可以，之前陆陆续续尝试了disqus中的migrate tools，都没有解决

where: section 7.4

how to show?

最大值处为什么是p(x)？

to do

用R语言实现chap18.1的模拟