# 深度学习实践：从零开始做电影评论文本情感分析

http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz

`tree aclImdb -L 2`

`vim 1234_10.txt`

I grew up watching this movie ,and I still love it just as much today as when i was a kid. Don't listen to the critic reviews. They are not accurate on this film.Eddie Murphy really shines in his roll.You can sit down with your whole family and everybody will enjoy it.I recommend this movie to everybody to see. It is a comedy with a touch of fantasy.With demons ,dragons,and a little bald kid with God like powers.This movie takes you from L.A. to Tibet , of into the amazing view of the wondrous temples of the mountains in Tibet.Just a beautiful view! So go do your self a favor and snatch this one up! You wont regret it!

# PRML读书会第四章 Linear Models for Classification

PRML读书会第四章 Linear Models for Classification

planktonli(1027753147) 19:52:28

1) Fisher准则的分类,以及它和最小二乘分类的关系 (Fisher分类是最小二乘分类的特例)
2) 概率生成模型的分类模型
3) 概率判别模型的分类模型
4) 全贝叶斯概率的Laplace近似

1) 全贝叶斯
2) 经验贝叶斯
3) MAP贝叶斯

MAP(poor man’s Bayesian)：不涉及marginalization，仅是一种按后验概率最大化的point estimate。这里的MAP(poor man’s Bayesian)是属于 点概率估计的。而全贝叶斯可以看作对test样本的所有参数集合的加权平均，PRML说的Bayesian主要还是指Empirical Bayesian： 继续阅读