Here is a note of Distance dependent Chinese Restaurant Processes 文章链接http://pan.baidu.com/s/1dEk7ZA5 1. Distance dependent CRPs In the traditional CRP ,the probability of a customer sitting at a table is computed from the number of other customers a…
In Chinese Restaurant 题目连接: http://acm.hust.edu.cn/vjudge/contest/123332#problem/B Description When Vova arrived in Guangzhou, his Chinese friends immediately invited him to a restaurant. Overall n people came to the restaurant, including Vova. The w…
在David M.Blei 的Distance Dependent Chinese Restaurant Processes 中提到:DDCRP 的一个重要性质,也是和dependent DP 的一个区别,就是"In general ,dependent DPs exhibit marginal invariance while distance dependent CRPs do NOT " .文章中对Marginal invariance 的定义是: "The tradi…
100 Most Popular Machine Learning Video Talks 26971 views, 1:00:45, Gaussian Process Basics, David MacKay, 8 comments 7799 views, 3:08:32, Introduction to Machine Learning, Iain Murray 16092 views, 1:28:05, Introduction to Support Vector Machines, C…
ICLR 2013 International Conference on Learning Representations May 02 - 04, 2013, Scottsdale, Arizona, USA ICLR 2013 Workshop Track Accepted for Oral Presentation Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sr…
转:http://www.zhizhihu.com/html/y2011/3228.html l Theory n Introduction u Unsupervised learning by probabilistic latent semantic analysis. u Latent dirichlet allocation. u Finding scientific topics. u Rethinking LDA: Why Priors Matter u On an e…
from: http://www.metacademy.org/roadmaps/rgrosse/bayesian_machine_learning Created by: Roger Grosse(http://www.cs.toronto.edu/~rgrosse/) Intended for: beginning machine learning researchers, practitioners Bayesian statistics is a branch of statistics…
Notes on the Dirichlet Distribution and Dirichlet Process In [3]: %matplotlib inline Note: I wrote this post in an IPython notebook. It might be rendered better on NBViewer. Dirichlet Distribution The symmetric Dirichlet distribution (DD) can be co…
此文为David M. Blei所写的<Introduction to Probabilistic Topic Models>的译文,供大家参考. 摘要:概率主题模型是一系列旨在发现隐藏在大规模文档中的主题结构的算法.本文首先回顾了这一领域的主要思想,接着调研了当前的研究水平,最后展望某些有所希望的方向.从最简单的主题模型——潜在狄立克雷分配(Latent Dirichlet Allocation,LDA)出发,讨论了其与概率建模的联系,描述了用于主题发现的两种算法.主题模型日新月异,被扩展和…
概率主题模型简介 Introduction to Probabilistic Topic Models 转:http://www.cnblogs.com/siegfang/archive/2013/01/30/2882391.html 此文为David M. Blei所写的<Introduction to Probabilistic Topic Models>的译文,供大家参考. 摘要:概率主题模型是一系列旨在发现隐藏在大规模文档中的主题结构的算法.本文首先回顾了这一领域的主要思…
Dirichlet Process and Hierarchical Dirichlet Process 原文:http://hi.baidu.com/zentopus/item/46a622f5ef13e4c5a835a28e Dirichlet Process and Hierarchical Dirichlet Process 在这篇文章里,我会初步地介绍Dirichlet Process以及Hierarchical Dirichlet Process,不过仅仅局限于模型本身,并不涉及其i…
Fast Food Time Limit:3000MS Memory Limit:0KB 64bit IO Format:%lld & %llu Submit Status Practice UVA 662 Appoint description: System Crawler (2015-08-27) Description The fastfood chain McBurger owns several restaurants along a highway. Rec…
转自:http://blog.csdn.net/u011707076/article/details/44903223 LevelStream 实现超大无缝地图--官方文档学习 The Level Streaming feature makes it possible to load and unload map files into memory as well as toggle their visibility all during play. This makes it possible…
Dirichlet Process 和 Dirichlet Process Mixture模型 [本文链接:http://www.cnblogs.com/breezedeus/archive/2012/11/05/2754940.html,转载请注明出处.] Dirichlet Process (DP)被称为分布的分布.从DP抽取出的每个样本(一个函数)都可以被认为是一个离散随机变量的分布函数,这个随机变量以非零概率值在可数无穷个离散点上取值.比较有意思的是,从DP可以推导出几个非常著名的问题:…
Dialogue 1 Healthy diet 关于健康饮食 F:Bob, look at this sentence. 'Healthy eating is not about strict nutrition philosophies, staying unrealistically thin, or depriving yourself of foods you love.' It's interesting, isn't it? 鲍勃,听听这个句子:健康的饮食不是指那些严格的营养哲…
Burger Time? Everybody knows that along the more important highways there are countless fast food restaurants. One can find easily hamburgers, hot dogs, pizzas, sandwiches ... food everywhere. Many times the problem isn't to find a restaurant but…
Fast Food Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total Submission(s): 2173 Accepted Submission(s): 930 Problem Description The fastfood chain McBurger owns several restaurants along a highway. Recently,…
先明确一些潜规则: 机器学习是个collection or set of models,一切实践性强的模型都会被归纳到这个领域,没有严格的定义,’有用‘可能就是唯一的共性. 机器学习大概分为三个领域: 一般的机器学习模型:没有掺杂太多统计概念,例如决策树,KNN聚类,感知机等. 统计机器学习模型:依赖统计理论,主要是贝叶斯统计,例如SVM,naive bayesian,贝叶斯线性回归,高斯过程等. 神经网络模型:可以简单的理解为感知机的扩展,因为扩展的太猛,单独成立门派咯. 如此定义,有助于菜鸡…
google搜索小技巧 一.总结 一句话总结:But most people may not be using Google search to its full potential.Want to use Google search more efficiently and get the search results you want quickly? 例如 ipod 80G"ipod 80G""ipod 80G" + "on sale"ip…