latent semantic

Java Class Library Retrieval Method based on Latent Semantic Analysis

基于潜在语义分析的JAVA类库检索方法

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Latent Semantic Indexing Based on Level Search Scheme

基于层次搜索的潜在语义索引方法研究

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The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization

基于非负矩阵分解的隐含语义图像检索

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Analysis and study on latent semantic index retrieval model

隐含语义索引模型的分析与研究

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A Text Semantic Information Processing Method Based on Ontology and Latent Semantic Indexing

一种基于本体论和潜在语义索引的文本语义处理方法

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A novel scene classification method was presented based on block latent semantic.

提出了一种基于分块潜在语义的场景分类方法。

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Web Document Classification Based on Rough Set Latent Semantic Indexing

基于Rough集潜在语义索引的Web文档分类

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Research on latent semantic index retrieval model by expanding vector space model

一种扩展的向量空间模型-隐含语义索引模型研究

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Implementation of supply and demand information classification based on latent semantic indexing

隐含语义索引技术在供求信息分类中的应用

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Research on support vector machine for intrusion detection based on latent semantic model

基于潜在语义模型的SVM入侵检测研究

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A Text Classification Model Based on the Latent Semantic Structure

一种基于潜在语义结构的文本分类模型

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An Intelligent Information Retrieval Method: Latent Semantic Indexing

一种智能型的信息检索方法：隐含语义索引法

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In this thesis, we show how the cluster label discovery can be accomplished with the use of the Latent Semantic Indexing technique and how to organize the discovered labels into a hierarchical label tree.

本文将详述如何使用隐含语义分析的方法来发现类别标签以及将标签组织为层次型标签树。

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Concept Name Similarity Algorithm Based on Latent Semantic Analysis

基于潜语义分析的概念名称相似度算法

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A Latent Semantic Analysis Based Algorithm for Query Expansion

一种基于潜在语义分析的查询扩展算法

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The Application and Research of Latent Semantic Analysis in the Field of Internet Data Mining

潜在语义分析在互联网数据挖掘中的应用研究

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Main works are as follows: ( 1) Methods to construct latent semantic space were analyzed.

本文的主要工作如下：（1）分析潜在语义空间的构造方法。

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Study on cognitive science through latent semantic analysis

应用潜在语义分析，探析认知科学

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Application of latent semantic analysis in continuous speech recognition

潜在语义分析在连续语音识别中的应用

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This paper presents a new method of text clustering by latent semantic analysis.

根据隐含语义分析（LSA）理论，提出了一种文本聚类的新方法。

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Research on Text Classification Based on Ontology and Latent Semantic Indexing Algorithm

基于本体和潜在语义索引算法的文本分类方法研究

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Information Retrieval Model Based on Markov Network of Latent Semantic

一种基于潜在语义的Markov网络信息检索模型

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This paper presents a new method of text clustering by using the latent semantic index ( LSI) and self-organizing neural network ( SNN).

根据隐含语义索引（LSI）理论和动态自组织映射神经网络理论，提出了一种文本聚类的新方法。

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Latent Semantic Analysis ( LSA ) is a theory and method of acquisition and representation of knowledge.

潜在语义分析 ( LSA ) 是一种知识提取和表示的理论和方法.

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Application Researches of Latent Semantic Analysis in the Chinese Essay Auto Scoring System Construction

潜在语义分析在中文短文自动判分系统构建中的应用研究

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Research on Chinese Concept Retrieval Based on Latent Semantic Analysis

基于潜在语义分析的中文概念检索研究

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Research on Document Clustering Technology Based on Latent Semantic Indexing

基于潜在语义索引的文本聚类技术研究

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A new latent semantic analysis language model

一种新的潜在语义分析语言模型

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Finally the term-document space is constructed by vector space model with term frequency weight. Secondly, the latent semantic analysis is studied.

向量空间采用词频作为权值的向量空间模型构建。其次，研究了潜在语义分析模型。

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Research and Application for Chinese Information Retrieval Based on Latent Semantic Indexing

潜在语义标引在中文信息检索中的研究与实现

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