Midi at Work

用Listings高亮代码

2008-03-06T04:57:00.000-08:00

http://en.wikibooks.org/wiki/LaTeX/Packages/Listingspdf例子：\documentclass{article}\usepackage{listings}\begin{document}\begin{lstlisting}[language=C]int main(int argc, char ** argv){/* print a string "Hello world!"printf("Hello world!\n");return 0;}\end{lstlisting}\end{document}效果：

Comments on Rethinking the Semantic Web

2008-02-08T23:07:00.000-08:00

Yesterday I read the article Rethinking the Semantic Web (part1, part2) by Rob mcCool.It points out several fundamental defects underlying the Semantic Web idea and proposes an Named Entity Web as the solution. Published in the year of 2005, the issues discussed are becoming widely realized and arousing great interests.Briefly speaking, I list the features, from the human-understandability and

用Minipage并排图形和表格

2008-01-27T21:01:00.000-08:00

\begin{minipage}[htb]{.45\textwidth}\begin{minipage}{.4\textwidth} \centering \includegraphics[width=100pt, bb=0 0 94.19mm 94.19mm]{fig.eps} \makeatletter\def\@captype{figure}\makeatother\caption{\scriptsize An infobox of the Wikipedia page.} \label{fig:myfig}\end{minipage} \quad\begin{minipage}{.45\textwidth} \centering \tiny \begin{tabular}{|cc|} \hline \multicolumn{2}{|c|}{Classes from

one figure over two columns &&figure array

2008-01-16T04:53:00.000-08:00

\begin{figure*}[tb]实现跨行用subfigure排列子图。需要引用subfigure的包：\usepackage{graphicx}---------------------------------------------------------------\begin{figure*}[tb]\centering\subfigure[1]{\includegraphics[width=400pt]{D:/0work/res/pic/1.eps}}%\mbox{\hspace{0.5cm}}\\\subfigure[2]{\includegraphics[width=140pt]{D:/0work/res/pic/2.eps}}\subfigure[3]{\includegraphics[width=140pt]{D:/0work/res/pic/3.eps}}%\

latex 单行或多行公式的排版

2008-01-14T22:35:00.000-08:00

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：\[…\] 人工编号的单行公式可以使用Tex原有的行间公式标记$$公式 \eqno 编号 $$ 将编号放在右边$$公式 \leqno 编号 $$ 将编号放在左边引用时候可以直接用$编号$即可。例如，$$a^2+b^2=c^2 \eqno (**)$$由公式($**$)即可得到结论。一般情况下，行间公式 $$…$$也可以用\[…\]表示但对于这种人工编号的公式，不能用\[..\]代替$$…$$. 2.单个公式很长，需要换行，但仅允许生成一个编号时，可以用split命令 \begin{equation}\begin{split}a &= b \\

feature selection

2007-12-29T23:59:00.000-08:00

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。

SURVEY

2007-12-04T18:13:00.000-08:00

See here

Notes about SVM & the Kernel Method

2007-11-16T21:45:00.000-08:00

Reference:[1] An Introduction to Support Vector Machines and other kernel-based learning methodsNello Cristianini, John Shawer-Taylor[2] 数据挖掘中的新方法-支持向量机邓乃扬，田英杰[3] 机器学习Tom M. Mitchell曾华军张银奎等译[4] http://en.wikipedia.org/wiki/Support_vector_machine[5] An introduction to Kernel-Based Learning AlgorithmsKlaus-Robert Muller, Sebastian Mika, Gunnar Ratsch, Koji Tsuda, and Bernhard Scholkopf----------

Latex 公式

2007-10-24T22:18:00.000-07:00

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 选项% 用来兼容 AMS LaTeX 的宏包 %=== 配合上面的ntheorem宏包产生各种定理结构,重定义一些%正文相关标题 ===\theoremstyle{plain}\theoremheaderfont{\normalfont\rmfamily\CJKfamily{hei}}\theorembodyfont{\normalfont\rm\CJKfamily{kai}} \theoremindent0em\theoremseparator{\hspace{1em}} \theoremnumbering{

Jensen-Shannon divergence

2007-09-07T01:58:00.000-07:00

definition given by wikipediaIn probability theory and statistics, the Jensen-Shannon divergence is a popular method of measuring the similarity between two probability distributions.used as a similarity measure of entities in Chen, J. and D. Ji, et al. (2006). Relation Extraction Using Label Propagation Based Semi-Supervised Learning. Proceedings of the 21st International Conference on

Lazy Learning

2007-08-26T23:33:00.001-07:00

http://en.wikipedia.org/wiki/Lazy_learningIn artificial intelligence, lazy learning is a learning method in which generalization beyond the training data is delayed until a query is made to the system, as opposed to in eager learning, where the system tries to generalize the training data before receiving queries....

Hausdorff distance

2007-08-26T23:05:00.000-07:00

what is Hausdorff distance ?An introductionNamed after Felix Hausdorff (1868-1942), Hausdorff distance is the « maximum distance of a set to the nearest point in the other set »

A talk given by Prof. Mitch Marcus on last Friday

2007-08-19T06:12:00.000-07:00

> タイトル：Unsupervised induction of morphological structure>> 概要：> We will discuss the problem of unsupervised morphological and part of> speech (POS) acquisition in realistic settings. From studies of tagged> corpora, we show that there is a sparse data problem in morphology,> which raises the question of how rare forms may be learned. We then show> that it is often the case that the base form of a

Latex中纵向排列两个子图

2007-08-17T19:14:00.000-07:00

引入包subfigure.\usepackage{subfigure}使用的时候：\begin{figure}[tb]\centering \subfigure[subCaption_1 ]{\includegraphics[width=200pt]{1.eps}}\label{fig:selFilter} \subfigure[subCaption_2]{\includegraphics[width=200pt]{2.eps}}\label{fig:tripleQuery} \caption{Query} \label{Fig:CellDropRates}\end{figure}

Maxium Likelihood Estimate (MLE)

2007-08-07T05:35:00.000-07:00

1. from wikipedia:Maximum likelihood estimation (MLE) is a popular statistical method used to make inferences about parameters of the underlying probability distribution from a given data set. That is to say, you have a sample of data X_{1}, \dots, X_{n} \!and some kind of model for data, and you want to estimate parameters of the distribution.2. from http://www.itl.nist.gov/div898/handbook/eda

Conditional Random Fields (CRFs)

2007-07-22T23:14:00.000-07:00

from http://www.inference.phy.cam.ac.uk/hmw26/crf/Conditional random fields (CRFs) are a probabilistic framework for labeling and segmenting structured data, such as sequences, trees and lattices. The underlying idea is that of defining a conditional probability distribution over label sequences given a particular observation sequence, rather than a joint distribution over both label and

Semantics, Syntax and pragmatics

2007-07-10T01:36:00.000-07:00

from: Semantic Tagging - Susanne Ekeklint--------------The difference between syntactic tagging and semantic tagging is that the categories that are used to mark the entities in the latter case are of a semantic kind. Semantics has to do with intentions and meanings. POS tagging may sometimes be considered semantic but is usually seen as syntactic tagging. By tradition there is a separation

The slide about text catgorization

2007-07-01T11:52:00.000-07:00

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

Generative Model and Disriminative Model

2007-06-17T18:31:00.000-07:00

==Ref: MLWikiA generative model is one which explicitly states how the observations are assumed to have been generated. Hence, it defines the joint probability of the data and latent variables of interest.==See also: Generative Model from wikipedia.==ref: A simple comparisonof generative model (model likelihood and prior) <-- NB..and discriminative model (model posterior) <-- SVM==ref: Classify

Collocations

2007-06-06T22:52:00.000-07:00

Chap 5 of foundations of statistical natural language processing- a collocation is an expression consisting of two or more words that correspond to some conventional say of saying things.- Collocations are characterized by limited compositionality.(we call a natural language expression compositional if the meaning of the expression can be predicted from the meaning of the parts.)Collocations are

Controlled Language

2007-06-06T06:47:00.000-07:00

What are Controlled Natural Languages?"Controlled Natural Languages are subsets of natural languages whose grammars and dictionaries have been restricted in order to reduce or eliminate both ambiguity and complexity. Traditionally, controlled languages fall into two major categories: those that improve readability for human readers, particularly non-native speakers, and those that improve

用fancyverb package 定义自己的verbatim格式

2007-05-18T23:02:00.000-07:00

例：

latex公式

2007-05-06T20:44:00.000-07:00

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

更改latex 中item的样子

2007-05-06T07:26:00.000-07:00

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

Examples of Math

2007-05-06T04:05:00.000-07:00

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

reading

2007-05-05T23:47:00.000-07:00

recent publications about tagging and the SW

Latex并列子图中使用minipage

2007-05-03T01:54:00.000-07:00

\begin{figure}[htb]\centering \mbox{\subfigure[title for sub figure 1]{\begin{minipage}[c]{3.7cm}\smalla sentence\\a sentence\\a sentence\\a sentence\\\end{minipage}\label{fig:labelOfSubFigureA}}\quad\subfigure[title for sub figure b]{\begin{minipage}[c]{3.7cm}\smalla sentence\\a sentence\\a sentence\\a sentence\\a sentence\\\end{minipage}\label{fig:tripleTagsB} }} \caption{Triple tags}\label{fig

latex中输入定义

2007-05-02T06:00:00.000-07:00

\documentclass[times, 10pt,twocolumn]{article}....\usepackage{amsmath,amsthm,amssymb} % 引入 AMS 數學環境g....\newtheorem{definition}{Definition}\newtheorem{theorem}{Theorem}(for 公理)\begin{document}...(如果只是definition，之用引入amssymb包)\begin{definition}[Name of the Definition]content of the definition\end{definition}....

About RDF query

2007-04-30T06:11:00.000-07:00

1. http://www.w3.org/2001/11/13-RDF-Query-Rules/This document provides a survey of RDF query language and implementations and describes their capabilities in terms described in RDF Query and Rules Framework.2.SPARQL: A query platform for Web 2.0 and the Semantic WebA full list of different query language implementations can bee seen at http://www.w3.org/2001/11/13-RDF-Query-Rules/. But these

vocabulary

2007-04-25T22:16:00.000-07:00

1. generative v.s. discriminative2. inductive v.s. recursive

about Kernel method

2007-04-09T04:45:00.000-07:00

tutorial on kernel methodBernhard Schölkopf. Statistical learning and kernel methods. MSR-TR 2000-23, Microsoft Research, 2000.Kernel methods retain te original representation of objects and use the object in algorithms only via computing a kernel function between a pair of objects. A kernel function is a similarity function satisfying certain properties. More precisely, a kernel function K over

NOTE: enable curl extension from PHP

2007-04-02T20:53:00.000-07:00

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:libeay32.dll, ssleay32.dll, php5ts.dll, php_curl.dll 都拷贝到system32目录下 (或将这些文件的目录加入系统的path变量中)@重启apache/IIS即可.----------------------------------查看curl的版本：＜? phpprint_r(curl_version());?>

Conference Information

2007-03-29T05:57:00.000-07:00

NLP,conference from the linguist list

T-FaNT

2007-03-22T19:57:00.000-07:00

记录一下url.每次找很麻烦。上周参加了东大的一个forumT-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。

为什么会出现link2005 (zz)

2007-03-17T00:22:00.000-07:00

原文在这里。msdn也是很有用的。

Dependency Parsing

2007-03-08T03:27:00.000-08:00

Ref:A Fundamental Algorithm for Dependency ParsingNotes of Content:1. phrase-structure (constituency) parser v.s. dependency parsing.2. constituency grammar v.s. dependency grammar.3. Dependency tree:if two words are connected by a dependency relation:they are head and dependent, connected by the link in the dependency tree, constituents (phrases) still exist.4. year of 1965, it is proved

Introduction to Syntactic Parsing

2007-03-07T21:39:00.000-08:00

Introduction to Syntactic ParsingA good introduction for the beginners.by Roxana GirjuNovermber 18, 2004

Five basic sentence patterns in English

2007-03-06T21:54:00.000-08:00

First of all, thanks to Jin for his helpReference 1Reference 2 Reference 3 -----------------------From reference 2."Now, I'm sure you know that there are five basic sentence patterns, consisting of necessay elements which are S(subject), V(verb), O(object), and C(complement).I list out the 5 patterns here:S+VS+V+CS+V+OS+V+O+CS+V+O+O"

Good starting point

2007-02-28T00:24:00.000-08:00

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 work on the topic he assigned or the one I have been wanting to do for so long. But the bad news is, seems it's difficult for a foreigner with little knowledge of Japanese to find a research position in Japan...wow....

DONE:-)

2007-02-17T02:03:00.001-08:00

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

latex中插入并列子图

2007-02-16T19:30:00.000-08:00

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.eps}}\quad\subfigure[信元丢失率与缓冲大小之间的关系]{\includegraphics[scale=1.0]{temp2.eps}}}\caption{影响信元丢失率的因素}\label{Fig:CellDropRates}\end{figure}

harmonic series and Riemann Zeta Function

2007-02-15T03:54:00.000-08:00

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

inf (glb) and sup

2007-01-29T22:37:00.000-08:00

from mathforum inf means "infimum," or "greatest lower bound." This is slightly different from minimum in that the greatest lower bound is defined as:x is the infimum of the set S [in symbols, x = inf (S)] iff:a) x is less than or equal to all elements of Sb) there is no other number larger than x which is less than or equal to all elements of S.Basically, (a) means that x is a lower bound of

Latent Semantic Index (LSI)

2007-01-20T07:55:00.000-08:00

1) here is a great explaination to a layman.or latent semantic analysis"The term ’semantics’ is applied to the science and study of meaning in language, and the meaning of characters, character strings and words. Not just the language and words themselves, but the true meaning being conveyed in the context in which they are being used.In 2002 a company called Applied Semantics, an innovator in

model-theoretic semantics

2006-12-27T21:54:00.000-08:00

>>"The basic of model-theoretic semantics can be roughly described as the following.For a formal language L, a model M consists of descriptions aboutobjects and their factual relations in a domain. The descriptions are written inanother language Lm, which is a meta-language, and can either be a naturallanguage, like English, or another formal language. An interpretation I mapsthe words in L onto

syntax && semantic relation.

2006-12-26T23:31:00.000-08:00

the work of NLP V.S. semantic theory.from http://www.cogsci.uni-osnabrueck.de/~gkatz/Semantics/SlidesPDF/Lecture%20Two.pdf-------------------------Syntax is an independent filed of study concerned with determining what the grammatical structures aresemantic theory interprets those structures.-------------------------

What is semantic? - beginning

2006-12-26T08:31:00.000-08:00

"semantic web, semantic web, semantic web...""Stop, may I ask a question? what do you mean by 'semantic'?"I hope one day I can answer this question clearly. So from now on I will write down related pieces I met, the points I understood. And discussions are warmly welcomed. If you are interested in.I will create a new label with its name "WhatIsSemantic", so everyone (of course, mainly me, I guess

NOTE: Semantic Theory

2006-12-24T21:46:00.000-08:00

lecture1.introduction to semantic theory2.semantic theory

C++ memo

2006-12-19T07:47:00.000-08:00

>>default constructor & copy constructor & copy assign constructor>>int* p1, p2 = {int *p;int p2} int *p1, *p2 = {int *p1; int *p2}>>pointer & referencehttp://zhidao.baidu.com/question/4616759.htmlhttp://blog.sina.com.cn/u/4b03937a0100062c[comment] basically, reference is an alais.>>const int* p v.s int * const phttp://slam-dunk-for-life.spaces.live.com/blog/以*为界。*是右结合的。const int *p

Note: experience-grounded semantics and formal semantics

2006-11-22T22:59:00.000-08:00

Ref:Dr. Wang Peiand Experience-Grounded Semantics:A theory for intelligent systems

The 1st post: Why this blog

2006-11-22T22:49:00.000-08:00

To record my work.It might be boring to my friends, so midi separates the working notes from the blog about my daily life, where also some posts about work can be found, if interested.