Midi at Work

1. 修改crontab文件： sudo vim /etc/crontab 2. 修改完毕之后需要重启crontab 服务： sudo service cron restart 3. crontab执行的内容打印到log文件(用于debug)  13 15  * *...

http://en.wikibooks.org/wiki/LaTeX/Packages/Listings pdf 例子 ： \documentclass { article } \usepackage { listings } \begin { document } \begin...

Yesterday I read the article Rethinking the Semantic Web ( part1 , part2 ) by Rob mcCool . It points out several fundamental defects underly...

\begin{minipage}[htb]{.45\textwidth} \begin{minipage}{.4\textwidth} \centering \includegraphics[width=100pt, bb=0 0 94.19mm 94.19mm]{fig.e...

\begin{figure*}[tb]实现跨行 用subfigure排列子图。需要引用subfigure的包： \usepackage{graphicx} --------------------------------------------------------------...

from : http://www.boyeut.com/2007/05/equation.html 1.自动编号的单行公式环境是 \begin{equation} … \end{equation} 不参与自动编号的单行公式环境： \[ … \] 人工编号的单行公...

因为想看看random forest，找到了这本书： Feature Extraction, Foundations and Applications 。 拿了第一章，很好的感觉，放在了豆瓣里面。 相关的课程网站在 这里 。

See here

Reference: [1] An Introduction to Support Vector Machines and other kernel-based learning methods Nello Cristianini, John Shawer-Taylor [2] ...

from http://blog.sina.com.cn/s/blog_53be544e010003hn.html 首先你要先使用宏包 ntheorem \usepackage[amsmath,thmmarks]{ntheorem} % 定理类环境宏包，其中 amsmath 选...

definition given by wikipedia In probability theory and statistics, the Jensen-Shannon divergence is a popular method of measuring the simil...

http://en.wikipedia.org/wiki/Lazy_learning In artificial intelligence, lazy learning is a learning method in which generalization beyond the...

what is Hausdorff distance ? An introduction Named after Felix Hausdorff (1868-1942), Hausdorff distance is the « maximum distance of a set...

> タイトル：Unsupervised induction of morphological structure > > 概要： > We will discuss the problem of unsupervised morphological and...

引入包subfigure. \usepackage{subfigure} 使用的时候： \begin{figure}[tb] \centering \subfigure[subCaption_1 ]{\includegraphics[width=200pt]{1.eps}} \l...

1. from wikipedia : Maximum likelihood estimation (MLE) is a popular statistical method used to make inferences about parameters of the unde...

from http://www.inference.phy.cam.ac.uk/hmw26/crf/ Conditional random fields (CRFs) are a probabilistic framework for labeling and segmentin...

from: Semantic Tagging - Susanne Ekeklint -------------- The difference between syntactic tagging and semantic tagging is that the categorie...

Mainly about the content of the chapter 16 of the book Foundations of Statistical Natural Language Processing Here is the slide.

== Ref: MLWiki A generative model is one which explicitly states how the observations are assumed to have been generated. Hence, it defines ...

Chap 5 of foundations of statistical natural language processing - a collocation is an expression consisting of two or more words that corr...

What are Controlled Natural Languages? "Controlled Natural Languages are subsets of natural languages whose grammars and dictionaries h...

例：

http://en.wikipedia.org/wiki/Help:Formula

\renewcommand{\labelitemi}{$\star$} e.g.change the "dot" to "-" \renewcommand{\labelitemi}{-} \begin{itemize} \item ...

from Information Retrieval in Folksonomies: Search and Ranking Andreas Hotho, Robert Jaschke, Christoph Schmitz, Gerd Stumme

recent publications about tagging and the SW

\begin{figure}[htb] \centering \mbox{ \subfigure[title for sub figure 1]{ \begin{minipage}[c]{3.7cm} \small a sentence \\ a sentence\\ a sen...

\documentclass[times, 10pt,twocolumn]{article} .... \usepackage{amsmath,amsthm,amssymb} % 引入 AMS 數學環境 g .... \newtheorem{definition}{Definit...

1. http://www.w3.org/2001/11/13-RDF-Query-Rules/ This document provides a survey of RDF query language and implementations and describes the...

1. generative v.s. discriminative 2. inductive v.s. recursive

tutorial on kernel method Bernhard Schölkopf. Statistical learning and kernel methods . MSR-TR 2000-23, Microsoft Research, 2000. Kernel me...

出处在 这里 版本：php5.05 @已经内置有php_curl.dll,在ext目录下,此DLL用于支持SSL和zlib. @在php.ini中找到有extension=php_curl.dll, 去掉前面的注释. @设置extension_dir=c:\php\ext, @将...

NLP, conference from the linguist list

0.考虑了一下triple模型的表达能里和局限。涉及： a) svo b) event 1.参加T-FaNT。给自己的启发不小。大概考虑了一下自己的试验领域和评价方法。 2. 找了三个parser搭后台环境 a) syntex parser - charniak http://w...

记录一下url.每次找很麻烦。 上周参加了东大的一个forum T-FaNT 07 (Tokyo Forum on Advanced NLP and TM) 参加的很多大牛…… 而内容上，比起一般的conference，更专注于对于问题本身的讨论和认识。受益良多。

原文在 这里 。 msdn 也是很有用的。

Ref: A Fundamental Algorithm for Dependency Parsing Notes of Content: 1. phrase-structure (constituency) parser v.s. dependency parsing. 2...

Introduction to Syntactic Parsing A good introduction for the beginners. by Roxana Girju Novermber 18, 2004

First of all, thanks to Jin for his help Reference 1 Reference 2 Reference 3 ----------------------- From reference 2. " Now, I'm ...

A new start, although comes a little bit late. But so much better than never. Today I talked with professor and was told I *can* decide to w...

http://midi.jie.yang.googlepages.com/courses

使用graphicx宏包和subfigure宏包。下面是一个例子。 \begin{figure}[htb] \centering \mbox{ \subfigure[信元丢失率与加速因子之间的关系]{\includegraphics[scale=1.0]{temp1.e ps}}...

>>Harmonic series: sigma (1/n) n = 0 .. infinit >> Riemann Zeta Function the most common form of Riemann Zeta Function: >...

from mathforum inf means "infimum," or "greatest lower bound." This is slightly different from minimum in that the gre...

1) here is a great explaination to a layman. or latent semantic analysis "The term ’semantics’ is applied to the science and study of ...

>>"The basic of model-theoretic semantics can be roughly described as the following. For a formal language L , a model M consist...

the work of NLP V.S. semantic theory. from http://www.cogsci.uni-osnabrueck.de/~gkatz/Semantics/SlidesPDF/Lecture%20Two.pdf ----------------...

"semantic web, semantic web, semantic web..." "Stop, may I ask a question? what do you mean by 'semantic'?" I ho...

lecture 1. introduction to semantic theory 2. semantic theory