To alleviate the blindness of Linde-Buzo-Gray algorithm(LBG algorithm) while generating initial codebook, a new code word splitting method based on covariance of training vector is proposed.
针对LBG算法中初始码书生成存在盲目性的问题，提出了一种基于训练向量集合分量之间的相关性进行码向量分割的方法。
The cost of the training of support vector machine is too much, if we use thousands of support vectors directly, the computation time would be too long.
支持向量机的训练代价太大，如果直接把成千上万个特征向量直接用作训练，运算时间难以忍受。
In selecting vectors, the algorithm also USES the class label of training set and the judgment information of class mean vector.
在特征向量的选择中，本算法还用到了训练集的类别标签和类别平均向量的判别信息。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
为了提高模糊支持向量机在数据集上的训练效率，提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
Traditional Support Vector Machine (SVM), which based on batch training, can't satisfy the real-time requirement of environmental pollution prediction with large scale data.
传统支持向量机基于批量训练方法，无法适应环境污染预测中的海量数据与实时性要求。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
It introduces the method of the text auto-categorization, briefly describes the vector space model expression, and finally gives training arithmetic and categorization arithmetic of the text.
本文介绍了文本自动分类的研究方法，文本的向量空间模型表示。并给出了文档的训练算法和分类算法。
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
Then the final results into the high order BP network is input. Through the training of target vector table stylebook, corresponding type of goal can be output.
将融合后的最终结果输入到高阶BP神经网络中，通过目标向量样本的训练，输出相应的目标类型。
In training phase, singular value vector of a lot of face image information matrix from face image sets constitutes face image sets characteristic matrix as a column.
在训练阶段，从人脸图像集中选取大量人脸图像的信息矩阵的奇异值向量作为矩阵中的一列而构成的人脸图像集特征矩阵。
In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set.
第一阶段称为所谓的资料预先处理，即使用支援向量回归来找出训练资料集中的离异点并删除之。
Firstly character words of training documents are extracted, vector space model is constructed.
首先提取出文本训练集的特征词，建立特征向量空间模型。
The key problem of training support vector machines is how to solve quadratic programming problem, but for large training examples, the problem is too difficult.
训练支持向量机的本质问题就是求解二次规划问题，但对大规模的训练样本来说，求解二次规划问题困难很大。
The WAS generally includes the Web page purification, feature selection, vector representation, training algorithm, classification al.
网页自动分类一般包括网页净化、特征选择、向量表示、训练算法、分类算法等五个部分。
A new least squares support vector machines based on boundary nearest was proposed, which reduced the number of support vector by using boundary nearest methods pruning the training Sam.
文中提出了一种基于边界近邻的最小二乘支持向量机，采用寻找边界近邻的方法对训练样本进行修剪，以减少了支持向量的数目。
Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.
对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。
Least square support vector machines regression without sparsity needs longer training time currently, and is not adapted to online real-time training.
现有最小二乘支持向量机回归的训练和模型输出的计算需要较长的时间，不适合在线实时训练。
So, the traditional KNN arithmetic, clusters training document with highly overlapping word is improved, central vector of cluster is gained.
为此，改进了传统KNN算法，将训练文本中相似度大的文本合并，称为一簇，并计算簇的中心向量。
However, the training procedure of support vector machines amounts to solving a constrained quadratic programming.
然而，支持向量机的训练过程等价于求解一个约束凸二次规划。
Efficient extraction of image texture features are used on the following support vector machine classifier learning and training have a very important role.
图像纹理特征的有效提取对下面所用到的支持向量机分类器来进行学习和训练有非常重要的作用。
In the classification experiment, we find that the number of the support vector is far less than the number of the training sample number.
在分类实验中，我们发现支持向量的数量远远小于样本数，这为我们解决大规模数据问题提供了方法。
That using the reduction attributes of rough set reduced some redundant attributes, improved the real time of data processing by support vector machine, and shorten the time for training sample.
利用粗糙集的属性约简性来约简掉一些冗余属性，提高了支持向量机进行数据处理的实时性，缩短了训练样本的时间。
The relevance vector machine (RVM) is used to process the hyperspectral image in this paper to estimate the classifiers precisely in the high dimensional space with limited training samples.
将关联向量机应用于高光谱影像分类，实现高维空间中训练样本不足时分类器的精确建模。
Extract 21-dimensional statistical characteristics of histogram characteristic function (HCF) field, training classifier with the support vector machine (SVM).
提取直方图特征函数(HCF)域21维统计矩特征组成特征向量，用支持向量机(SVM)训练分类器。
Faced with the fact that training samples belonging to normal operation status are much more than ones belonging to abnormal operation status, the weighted support vector machine is presented.
针对污水处理过程运行状态监控中的正常运行状态样本数多而异常运行状态样本数少的特点，提出加权支持向量机方法。
Computer simulations show that the training speed of codebook is quickened by the new design algorithm and the complexity of vector quantizer is reduced.
计算机模拟结果表明，新算法明显缩减了码本训练时间、提高了矢量量化的速度。
This paper studies the speaker identification problem using support vector machine, and presents a SVM training method on large-scale training data according to the speech signal.
本文提出了用支持向量机来解决说话人辨认问题，结合语音信号的特点，解决了大数据量情况下支持向量机的训练问题。
Through support vector machine algorithms for data classification training, SVMs provide a effective way for analysis of this data.
通过支持向量机训练算法对数据进行分类训练，为分析数据提供有效的手段。
An incremental training method for support vector machine is proposed to alleviate the computing burden of large-scale, high-dimension samples in multi-component gas analyzing.
针对大规模高维气体分析样本难以计算的问题，提出一种提升的支持向量机学习方法。
An incremental training method for support vector machine is proposed to alleviate the computing burden of large-scale, high-dimension samples in multi-component gas analyzing.
针对大规模高维气体分析样本难以计算的问题，提出一种提升的支持向量机学习方法。
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