由于词序相似度是影响简拼搜索排序结果的主要因素，该文提出了基于向量距离计算词序相似度的算法。
Since word order similarity is the main factor to the ranking results, an algorithm based on vector distance is devised to compute word order similarity in this paper.
以此为前提，提出了距离阈值法和向量角度法相结合的数据精简算法。
Under this premise, the algorithm of data simplification is offered which combines the method of distance threshold with the one of vector angle.
本文介绍了基于向量空间的常用距离的算法，并在概念语义空间的基础上，提出一种面向主题的距离和分类的算法。
This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space.
论述了TCP/IP网络中距离向量（V D）算法中的慢收敛问题，以及一些解决方法的不足。
The thesis describes some solutions for the slow convergence (count to infinite) problem in Vector-Distance algorithm in TCP/IP and points some shortages of them.
本文提出了一种有限样本集上基于次特征值误差补偿和优势主向量上非对称分布的马氏距离改进算法。
A modification on Mahalanobis distance on samples of limited size by compensation for errors of non-dominant eigenvalues and asymmetrical distribution on dominant principle components is proposed.
该 算法利用查询模型计算各种特征向量的先验知识，然后动态地选择描述能力较强的特征向量计算模型之间的相似度距离。
The query model first calculates the prior knowledge of the feature vectors and then dynamically chooses the feature vector with the best description.
该 算法利用查询模型计算各种特征向量的先验知识，然后动态地选择描述能力较强的特征向量计算模型之间的相似度距离。
The query model first calculates the prior knowledge of the feature vectors and then dynamically chooses the feature vector with the best description.
应用推荐