[IR] Probabilistic Model

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[IR] Probabilistic Model

If user has told us some relevant and some irrelevant documents, then we can proceed to build a probabilistic classifier, such as a Naive Bayes model. Can we use probabilities to quantify our uncertainties? Ranking method: Rank by probability of rel…

Intro to Probabilistic Model

概率论复习概率(Probability) 频率学派(Frequentist):由大量试验得到的期望频率(致命缺陷:有些事情无法大量试验,例如一封邮件是垃圾邮件的概率,雷达探测的物体是一枚导弹的概率): 贝叶斯学派(Bayesian):基于已有信息而对预测结果的不确定性: 离散随机变量(Discrete Random Variables) 设\(X \in \left \{x_{1},\ x_{2},\ ...,\ x_{n} \right \}\) 为离散随机变量概率质量函数(Probabi…

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 学习目标:Dirichlet Process, HDP, HDP-HMM, IBP, CRM Alex Kendall Geometry and Uncertainty in Deep Learning for Computer Vision 语义分割 colah's blog Feature Visu…

[IR] Information Extraction

阶段性总结 Boolean retrieval 单词搜索 [Qword1 and Qword2] O(x+y) [Qword1 and Qword2]- 改进: Galloping Search O(2a*log2(b/a)) [Qword1 and not Qword2] O(m*log2n) [Qword1 or not Qword2] O(m+n) [Qword1 and Qword2 and Qword3 and ...…

PGM：概率图模型Graphical Model

http://blog.csdn.net/pipisorry/article/details/51461878 概率图模型Graphical Models简介完全通过代数计算来对更加复杂的模型进行建模和求解.然而,我们会发现,使用概率分布的图形表示进行分析很有好处.这种概率分布的图形表示被称为概率图模型( probabilistic graphical models ).这些模型提供了几个有用的性质:• 它们提供了一种简单的方式将概率模型的结构可视化,可以用于设计新的模型.• 通过观察图形,我…

[IR] Word Embeddings

From: https://www.youtube.com/watch?v=pw187aaz49o Ref: http://blog.csdn.net/abcjennifer/article/details/46397829 Ref: Word2Vec (Part 1): NLP With Deep Learning with Tensorflow (Skip-gram) [Nice!] Ref: Word2Vec (Part 2): NLP With Deep Learning with Te…