在他们得到记录之后，这些语义元素对相同领域内的任意模型，都有潜在的作用。
After they are documented, these semantic elements are potentially useful to any model in the same domain.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
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.
因果关系的默认规则表达为潜在的因果关系提供了一个简洁的语法与语义形式化工具，使得因果关系能够应用在因果推理模型中，比如预浙江大学博士学位论文。
The default rule representation provides a concise syntactic and semantic formalism for potential causal relations to be used in causal reasoning models such as predicting, explaining and diagnosing.
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。
To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).
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.
实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
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