Reducing the high dimension of feature vectors is an essential part of text categorization.
对高维的特征集进行降维是文本分类过程中的一个重要环节。
It can reduce classifier space with high dimension, and then learn a combiner in lower dimension.
该方法将高维分类器空间压缩至低维分类器空间，并在该空间内学习集成器。
System identification can be formulated as a multimodal optimization problem with high dimension.
系统识别问题可以转化成高维多模优化问题。
When we measure the high dimension system, we usually acquire the one-dimension time series of this system.
对高维系统的测量得到的通常只是一维时间序列。
It has many particular advantages on resolving such problems as small sample, nonlinearity and high dimension.
它在解决小样本、非线性及高维数等问题中表现出许多特有的优势。
A combined optimization decision tree algorithm suitable for a large scale and high dimension data-base is presented.
提出了一种适合于大规模高维数据库的组合优化决策树算法。
As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space.
对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。
The practical rotor-bearing system is of high dimension and strong nonlinearity, so it is difficult to analyze it directly.
实际转子—轴承系统是高维非线性的，直接分析求解十分困难。
Float vector based image feature has high dimension and usually makes use of Euclidean distance as its similarity definition.
浮点矢量图像特征维数较高，且通常以欧氏距离作为矢量之间的相似度定义。
According to indirectly coupled Chua's circuit, we can observe high dimension hyperchaotic system's characteristic of behavior.
并根据非直接耦合的蔡氏电路，观测到了高维超混沌系统的行为特征。
Some problems have been found in classical optimization methods to solve high dimension, multi-modal and other complex systems.
传统的优化方法在处理大维数、多模态等复杂问题上存在诸多不足。
The transformation of kernel function is used to solve the overlapped mixed gas feature absorption spectrum in high dimension space.
算法采用核函数变换的方式，将重叠严重和非线性的光谱数据进行高维空间变换后再计算各组分气体浓度。
The effectiveness and efficiency of the algorithms have been shown by experimental results, especially for the high dimension data warehouses.
实验证明了一系列算法的效率和有效性，尤其适合数据仓库中的高维数据集。
Support vector machines (SVM) is a new nonlinear modeling method which is suitable for solving small samples and high dimension modeling problems.
支持向量机(SVM)作为一种新型的非线性建模方法，适合于处理小样本和高维数的建模问题。
The aim of Multiscale Geometric Analysis is to find a kind of optimal representation of high dimension function in the sense of nonlinear approximation.
多尺度几何分析旨在构建最优逼近意义下的高维函数表示方法。
Multiplayer shells assembly have characteristic, which are high dimension precision, strict form and position tolerance, difficult bond technology and etc.
多层壳体组件具有尺寸精度高、形位公差要求严、粘接难度大等特点。
We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature Spaces.
根据支持向量机(SVM)在小样本、高维模式分类中具有的优良分类性能，提出将支持向量机应用于实际的纸张缺陷分类。
Compared with some other modeling methods, such as ANFIS, the proposed model is of less computation, higher accuracy, especially for high dimension data modeling.
与其他建模方法相比，如anfis，模糊树模型计算量小，精度高，尤其在高维数据建模中更为明显。
Absrtact: SVM represented many unique advantages in many applications, such as solving the problem of nonlinear, high dimension pattern recognition and small sample problem.
摘要：在解决非线性、高维模式识别以及小样本等问题中，支持向量机表现出许多独有的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
A kind of three-phase models of three-winding transformers were presented which overcame some drawbacks in the existent models such as the large error or high dimension and singularity.
本文提出了三绕组变压器的一种新的三相模型，这种模型避免了现有模型存在的误差大或维数高以及奇异性问题。
The research contents include high dimension feature vectors index, semantic video classification, relevance feedback, similarity measure of video clips and video content representation.
本文研究内容涉及特征索引方法、视频语义分类方法、相关反馈方法、视频片段的相似度量以及视觉内容特征的表示等问题。
Blast Furnace (BF) ironmaking process is highly complicated, whose operating mechanism is characteristic of nonlinearity, time lag, high dimension, big noise and distribution parameter etc.
高炉冶炼过程是一个高度复杂的过程，其运行机制往往具有非线性、大时滞、大噪声、分布参数等特征。
It was found that the wear-resistant trough cast with EPC process was of high dimension accuracy, good surface quality, dense structure, and its working life could be increased by more than50%.
发现，采用消失模铸造耐磨槽铸件，尺寸精度高，表面质量好，组织致密，使用寿命可提高50%以上。
The traditional KNN has a fatal defect that time of similarity computing is huge. The practicality will be lost when the KNN is applied to WEB text categorization with high dimension and huge samples.
传统KNN方法的明显缺陷是样本相似度的计算量很大，使其在具有大量高维样本的Web文本分类中缺乏实用性。
The query of High dimension data attracts more and more attention.
目前，高维数据的快速检索问题已经受到越来越多的关注。
High dimension was changed into low dimension by using principal component analysis method, process detecting could be carried out in the low dimension space.
应用主元分析方法将高维数据转换到低维数据空间，这使得过程监测可以在低维的空间内进行。
Mixtures of factor analyzers, is a nonlinear tool for high-dimension data.
混合因子分析模型是一种非线性的分析高维数据的工具。
Mixtures of factor analyzers, is a nonlinear tool for high-dimension data.
混合因子分析模型是一种非线性的分析高维数据的工具。
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