space vector的例句大全

Through constructing the reference library of keywords in constructing data process using vector space model, it reduced the information lost and the dimension of vector space.

在向量空间模型转化过程中使用构建关键词参照库的方法对数据进行转化，降低向量维度和减少信息量损失。

Based on the wasted of dimension in traditional vector space model algorithm, the article gives the method to solve. Through analysis, different frequencies of keywords and reference library of keywords was used to mine the data.

针对传统的基于向量空间模型算法中向量维度的空间浪费问题，从数据挖掘的知识入手研究，通过分析采用分频关键词和关键词参照库的方法对数据进行聚类挖掘研究。

Design for Build-in Inverter Based on Voltage Space-Vector

基于电压空间矢量的嵌入式变频器的设计

The classifier is based on vector space model and categorize dynamic text stream which is typed by user from keyboard. The aim for categorization is to guide input program prompting repeated codes words.

该分类器基于向量空间模型，对用户键盘输入的动态文字流进行分类，分类目标是指导输入法程序提示重码词条。

The performance of the N-gram model classifier was compared with that of the traditional models ( Vector Space Model and Naive Bayes Model). Experiment result shows that the accuracy and the stability of the N-gram model classifier are better than others.

通过N元语言模型与传统分类模型（向量空间模型和Naive Bayes模型）的实验对比，结果表明：N元模型分类器具有更好的分类性能。

It is hard to draw in two dimensions a picture of a vector function in three-dimensional space.

在两维图上画三维空间的矢函数图形是件难事。

The FMM originally developed for free space problems is extended to microstrip problem with the aid of the DCIM, which reduce the number of matrix-vector products in using iterative method for solving MoM equations, and the memory requirement.

将快速多极方法FMM结合离散复镜像技术（DCIM）扩展用于分析分层微带结构，加速用迭代法求解矩量方程中的矩阵&矢量积运算，减少内存需求。

the state space model of the dvr with the fess is established, the double vector control algorithm in dq synchronous reference frame is designed.

建立了基于FESS的DVR变换的数学模型，设计了同步旋转坐标系下的双矢量控制器。

research on the key techniques and typical methods of text categorization are being done, and the method of text categorization based on word vector space model is presented in the dissertation.

本文对文本分类的关键技术及典型分类方法进行了研究，提出基于词向量空间模型的文本分类方法。

based on the specific situation ( success, failure) of query disambiguation, two distinct types of document semantic relevance measure, namely semantic vector space model based document relevance and word vector space model based document relevance, are proposed in this dissertation.

本文根据查询消歧的具体情况（成功、失败），提出两种文档语义相关性度量的方法：基于语义向量空间模型的文档相关性和基于词汇向量空间模型的文档相关性。

most of the existing text intelligent processing systems are using word based vector space model to represent text.

现有的文本智能处理系统中大多采用基于词语的向量空间模型表示文本。

The Extension of Lexical Units Based on Vector Space Similarity Theory

基于向量空间相似原理的框架词元扩展

let ( x, t) be a separated topological vector space, b be a closed bounded convex set. t drop property and quasi t drop property of set b is introduced.

（X，T）是可分离的拓扑线性空间，B是X中的非空有界闭凸集，提出了B有T滴状性质和B有拟T滴状性质的概念。

Solution Strategies for Word Sense Problems Based on Vector Space Model and Maximum Entropy Model

基于矢量空间模型和最大熵模型的词义问题解决策略

Supervised word sense disambiguation based on vector space model

基于向量空间模型的有导词义消歧

Traditional vector-space approaches will treat a word like harrington as having a single vector.

传统的向量空间方法将把诸如harrington之类的词作为一个向量来处理。

Let be a compact pseudo-umbilical submanifolds with parallel mean curvature vector in the quasi constant curvature space. Two integrate inequalities on this kind submanifolds are given, then two sufficient conditions for to be a totally umbilical submanifold in are given.

设Mn是拟常曲率空间Nn+p中具有平行平均曲率向量的紧致伪脐子流形，论证得到了这种子流形的两个内蕴积分不等式，从而给出了Mn是全脐子流形的两个内蕴充分条件。

A Web Information Retrieval Method Based on Multilayer Vector Space Model

基于多层向量空间模型的Web信息检索方法

Vector space model, the weights were calculated from the characteristic value, the text vector to determine similarity computation and clustering center of the aspects of CBC clustering algorithm was improved.

采用向量空间模型，分别从特征值权值计算、文本向量相似度计算和聚类中心点确定三个方面对CBC聚类算法进行了改进。

The experimental result shows that the performance of simple SLM-CIR model should be superior to simple vector space models and probability models.

实验结果表明：简单的SLM-CIR模型的性能要优于简单的向量空间模型和概率模型。