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        <dc:date>2022-06-30T11:33:08+08:00</dc:date>
        <title>zh:tools:atot</title>
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        <description>Author Topic over Time (AToT) Model

Introduction

Programming Language

C/C++

Source Codes

[atot]

How to Use


cd bin
atot -help // show help information

atot -est -dfile ../data/nips.txt


Citation Information

If you find this toolbox useful, please cite AToT as follows:</description>
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        <description>Topic Models（Gibbs Sampling）

Introduction

Topic model is family of generative probabilistic models for discovering the main themes from a collection of documents. For more elaborate and detailed surveys, we refer the readers to [1]. Examples of topic models include Latent Dirichlet Allocation (LDA) [2][3][4], Author-Topic (AT) model [5][6][7], and co-Author-Topic (coAT) model [8], and many others.</description>
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        <dc:date>2022-06-30T11:32:48+08:00</dc:date>
        <title>zh:tools:mlssvr</title>
        <link>http://54xushuo.net/wiki/doku.php?id=zh:tools:mlssvr&amp;rev=1656559968&amp;do=diff</link>
        <description>Multi-output Least-Squares Support Vector Regression Machine (MLS-SVR)

Introduction

Multi-output regression aims at learning a mapping from a multivariate input feature space to a multivariate output space. Despite its potential usefulness, the standard formulation of the least-squares support vector regression machine (LS-SVR) [1][2] cannot cope with the multi-output case. The usual procedure is to train multiple independent LS-SVR, thus disregarding the underlying (potentially nonlinear) cro…</description>
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        <title>zh:tools:mtlssvm</title>
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        <description>Multi-Task Least-Squares Support Vector Machines (MTLS-SVM)

Introduction

Programming Language

MATLAB

Source Codes

&lt;https://github.com/pzczxs/MTLSSVM&gt;

Citation Information

 If you find this toolbox useful, please cite MTLS-SVM as follows:

	* Shuo Xu, Xin An, Xiaodong Qiao, and Lijun Zhu, 2014.</description>
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        <title>zh:tools:naivebayes</title>
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        <description>Naive Bayes

Introduction

The naïve Bayes (NB) classifier is a family of simple probabilistic classifiers based on a common assumption that all features are independent of each other, given the category variable. The different NB classifiers differ mainly by the assumptions they make regarding the distribution of features. The assumptions on distribution of features are called event models of the NB classifier [1]. For discrete features, multinomial or Bernoulli distributions are popular. These…</description>
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        <dc:date>2022-06-30T11:35:09+08:00</dc:date>
        <title>zh:tools:psasimilarity</title>
        <link>http://54xushuo.net/wiki/doku.php?id=zh:tools:psasimilarity&amp;rev=1656560109&amp;do=diff</link>
        <description>Chinese Term Semantic Similarity Calculation based on Pairwise Sequence Alignment

Introduction

Programming Language

JAVA

Source Codes

&lt;https://github.com/pzczxs/PSASimilarity&gt;

Citation Information

	* 徐硕, 朱礼军, 乔晓东, 薛春香, 2010. 基于双序列比对的中文术语语义相似度计算的新方法. 情报学报, Vol. 29, No. 4, pp. 701-708.</description>
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        <dc:date>2018-05-02T20:23:45+08:00</dc:date>
        <title>zh:tools:sidebar</title>
        <link>http://54xushuo.net/wiki/doku.php?id=zh:tools:sidebar&amp;rev=1525263825&amp;do=diff</link>
        <description>软件工具

	* 主题模型（Gibbs采样）
	* 作者主题演化模型
	* 朴素贝叶斯分类器
	* 多任务最小二乘支持向量机
	* 多输出最小二乘支持向量机
	* 基于双序列比对的中文术语相似度计算</description>
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