给出了基于潜在语义索引的文本摘要方法。
Text summary based on latent semantic indexing is presented in this paper.
搜索引擎排名为某网站将通过几个程序在潜在语义索引的搜索引擎优化。
The search engine ranking for a particular website will have to pass several processes in the latent semantic indexing based search engine optimization.
本文采用潜在语义索引（LSI）和遗传算法（GA）进行文本特征提取。
This paper selects the features of text by using LSI and GA(Genetic Algorithm).
通过对语料进行潜在语义索引和增加FAQ反馈，不断增强系统的回答能力。
It is able to update and improve the answering ability by LSI and FAQ.
潜在语义索引的搜索引擎都不会改变游戏；你将需要更改你的努力汉城大内还清。
Latent Semantic Indexing is going to change the search engine game; you will need to change your seo efforts to pay off big time.
潜在语义索引技术(LSI)是第三代搜索引擎的热点技术，是一种个性化的检索方法。
Latent semantic indexing (LSI), the third generation of search engine's hot technology, is a personalized research approach.
论文提出了一种基于潜在语义索引（LSI）和支持向量机（SVM）的异常入侵检测方法。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
文章简要地描述了文本过滤的背景，提出了基于潜在语义索引的中英文双语交叉过滤的逻辑模型。
This paper briefly describes the background of text filtering and puts forward the logic model for Chinese-English cross-language text filtering based on Latent Semantic Indexing.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
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