[PGM] Temporal Models
这里的一些东西只是将过去已有的东西用PGM解释了一遍,但优势还是明显的,对整体认识有帮助。
Video: https://www.youtube.com/watch?v=ogs4Oj8KahQ&index=13&list=PL50E6E80E8525B59C
3 - 1 - Overview of Template Models
3 - 2 - Temporal Models
3 - 3 - Temporal Models - HMMs
3 - 4 - Plate Models (以下主要是此内容)
DBM
动态BM其实就是加入了时间这个变脸,然后随着时间的变化,原有的节点会产生状态转移这样的过程。
Nested Plates & Overlapping Plates

左:一个courses框框可以包含很多个students框框。
右:如此一来,Courses框框的Difficulty就不是共享模式了。
结合后的效果如下:

意义在于:
Parameters and structure are reused within a BN and across different BNs.
Collective Inference

一个推断思维的例子:
学生选择第二第三课程,分低;但他的第一课程,分高;
那么,第一课程可能真的简单。
Plate notation
In Bayesian inference, plate notation is a method of representing variables that repeat in a graphical model.
Instead of drawing each repeated variable individually, a plate or rectangle is used to group variables into a subgraph that repeat together, and a number is drawn on the plate to represent the number of repetitions of the subgraph in the plate.
The assumptions are that
- the subgraph is duplicated that many times,
- the variables in the subgraph are indexed by the repetition number, and
- any links that cross a plate boundary are replicated once for each subgraph repetition.

In this example, we consider Latent Dirichlet allocation, a Bayesian network that models how documents in a corpus are topically related. There are two variables not in any plate:
- α is the parameter of the uniform Dirichlet prior on the per-document topic distributions,
- β is the parameter of the uniform Dirichlet prior on the per-topic word distribution.
The outermost plate represents all the variables related to a specific document, including , the topic distribution for document i.
The M in the corner of the plate indicates that the variables inside are repeated M times, once for each document.
The inner plate represents the variables associated with each of the words in document i:
is the topic for the jth word in document i, and
is the actual word used.
The N in the corner represents the repetition of the variables in the inner plate times, once for each word in document i.
- The circle representing the individual words is shaded, indicating that each
is observable, and
- the other circles are empty, indicating that the other variables are latent variables.
- The circle representing the individual words is shaded, indicating that each
The directed edges between variables indicate dependencies between the variables: for example, each depends on
and β.
[PGM] Temporal Models的更多相关文章
- 本人AI知识体系导航 - AI menu
Relevant Readable Links Name Interesting topic Comment Edwin Chen 非参贝叶斯 徐亦达老板 Dirichlet Process 学习 ...
- {ICIP2014}{收录论文列表}
This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinc ...
- A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems
A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems Recurrent neural netw ...
- 论文笔记:语音情感识别(三)手工特征+CRNN
一:Emotion Recognition from Human Speech Using Temporal Information and Deep Learning(2018 InterSpeec ...
- Machine Learning Basic Knowledge
常用的数据挖掘&机器学习知识(点) Basis(基础): MSE(MeanSquare Error 均方误差),LMS(Least MeanSquare 最小均方),LSM(Least Squ ...
- stanford推荐阅读目录
stanford deep learning 网站上推荐的阅读目录: UFLDL Recommended Readings If you're learning about UFLDL (Unsu ...
- [PGM] What is Probabalistic Graphical Models
学术潜规则: 概率图模型提出的意义在于将过去看似零散的topic/model以一种统一的方式串联了起来,它便于从整体上看待这些问题,而非具体解决了某个细节. 举个例子:梯度下降,并非解决神经网络收敛问 ...
- 使用 LaTeX 绘制 PGM(Probabilistic Graphical Models)中的贝叶斯网络(bayesian networks)
Software for drawing bayesian networks (graphical models) 这里需要调用 latex 中的绘图库:TikZ and PGF. 注意,下述 tex ...
- PRML读书会第八章 Graphical Models(贝叶斯网络,马尔科夫随机场)
主讲人 网神 (新浪微博: @豆角茄子麻酱凉面) 网神(66707180) 18:52:10 今天的内容主要是: 1.贝叶斯网络和马尔科夫随机场的概念,联合概率分解,条件独立表示:2.图的概率推断in ...
随机推荐
- Codeforces 932G Palindrome Partition 回文树+DP
题意:给定一个串,把串分为偶数段 假设分为$s_1,s_2,s_3....s_k$ 求满足$ s_1=s_k,s_2=s_{ k-1 }... $的方案数模$10^9+7$ $|S|\leq 10^6 ...
- C#的?和??
1.?? 为了实现Nullable数据类型转换成non-Nullable类型数据,才有的一个操作符: 意义:一变量取值,取符号左边的值,若左边为null,那么取赋值??右边的: 栗子:int a=3 ...
- zookeepercli - Command Line Interface for ZooKeeper
简介 ZooKeeper命令行界面(CLI)用于与ZooKeeper进行交互以用于开发目的.它对于调试很有用. 要执行ZooKeeper CLI操作,首先打开你的ZooKeeper服务器(“bin / ...
- Hessian学习总结(二)——使用hessian上传文件
hessian较早版本通过 byte[] 进行文件传输:4.0之后支持 InputStream 作为参数或返回值进行传输. 注意:hessian会读取整个文件,如果文件过大,会导致JVM内存溢出.可以 ...
- javascript中new Date()的浏览器兼容性问题
正确的做法: var time1 = (timestart+' 00:00:00').toString(); var time2 = (timeend+' 23:59:59').toString(); ...
- vim less vi 不显示富文本 ESC
如图: 使用 less -r xxx.log 即可显示如下
- gson的简单使用方法
gson和其他现有java json类库最大的不同时gson需要序列化得实体类不需要使用annotation来标识需要序列化得字段,同时gson又可以通过使用annotation来灵活配置需要序列化的 ...
- LM && NTLM && ophcrack && RainBow table
Windows密码的加密方式:Windows 主要使用以下两种(包含但不限于)算法对用户名和密码进行加密:分 别是LanManager(LM)和NTLM,LM只能存储小于等于14个字符的密码hash, ...
- Aspose.Cells设置单元格格式
使用Aspose.Cells操作Excel时,填写的参数是这样的,显然要不得! 这需要像Excel中的“转换为数字”操作,强大的Aspose.Cells可轻松解决这个问题. //默认写法 worksh ...
- zip压缩解压
zip在linux中使用相对不太频繁,但是在window中使用频繁! zip参数 -q //不显示指令的执行过程,静默执行-r //递归处理文件-T //检测zip文件是否可用-u //更新文件,根据 ...