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- Latent Semantic Analysis (LSA) is a theory and method of acquisition and representation of knowledge. 摘要潜在语义分析(LSA)是一种知识提取和表示的理论和方法。
- A new arithmetic based on Latent Semantic Analysis Model and domain ontology was proposed to summarize the document. 介绍了一种以潜语义分析模型为基础,辅之以领域本体的文档自动摘要算法。
- Aimed at the main challenges of recommender system, this thesis based the research on the pLSA (probabilistic Latent Semantic Analysis) model. 针对上述问题,本文对基于模型的推荐算法进行了初步的探索,在前人工作的基础上,研究了基于概率隐含语义分析(probabilistic Latent Semantic Analysis; pLSA)在推荐系统中的应用和实现技术,取得的主要研究成果如下: 1.;通过对用户、社区、推荐对象三者相关关系的分析,发现了社区兴趣相对稳定的特点。
- The statistical characteristics of dimensionality in latent semantic analysis LSA space were studied to realize automatic document clustering under different concept levels. 另外,在基于潜在语义分析的文档聚类算法中,采用文档自检索矩阵的行向量,代替低维文档向量作为聚类对象,获得了更好的聚类准确率。
- To the weight update of Latent Semantic Analysis(LSA) model,this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB). 摘要 针对潜在语义分析(LSA)模型的权重更新问题,提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。
- probabilistic latent semantic analysis (PLSA) 概率潜在语义分析
- PLSA(the probability latent semantic analysis) PLSA
- Probabilistic Latent Semantic Analysis(PLSA) 概率潜在语义分析
- probabilistic latent semantic analysis 概率潜在语义分析
- Probabilistic Latent Semantic Analysis ( PLSA ) model 概率潜在语义分析模型
- 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
- Bayes Discriminator for BBS Documents Based on Latent Semantic Analysis 基于潜在语义分析的BBS文档Bayes鉴别器
- Latent semantics analysis and text comprehension 潜在语义分析与篇章理解
- Answer Extracting for Chinese Question-Answering System Based on Latent Semantic Analysis 基于潜在语义分析的汉语问答系统答案提取
- To Construct the Set of Synonyms and Association Words Using Latent Semantic Analysis and the Mining of Association Rules 利用潜在语义分析和关联规则挖掘构造同义与关联词集
- Deerwester et al.Indexing by Latent semantic analysis[J].Journal of the American society for information science,1990,41 (6) 391-407 庞剑锋,卜东波,白硕,基于向量空间模型的文本自动分类系统的研究与实现,计算机应用研究,2001年第9期第18卷
- A variation of LSI is called probabilistic latent semantic. 集成电路是一种变异称为概率潜在语义。
- This model can capture more latent semantic structure information than LSC. 该模型比LSC模型能更好地表示文档空间的潜在语义结构信息。
- The Parser checks both syntax and semantic analysis. 解析器检查语法和语义。
- latent semantic analysis 潜在语义分析